Dataset info
| Number of variables | 52 |
|---|---|
| Number of observations | 40364 |
| Missing cells | 0 (0.0%) |
| Duplicate rows | 0 (0.0%) |
| Total size in memory | 16.0 MiB |
| Average record size in memory | 416.0 B |
Variables types
| Numeric | 17 |
|---|---|
| Categorical | 2 |
| Boolean | 0 |
| Date | 0 |
| URL | 0 |
| Text (Unique) | 4 |
| Rejected | 26 |
| Unsupported | 0 |
Warnings
kind has constant value "features_input_QoE" | Rejected |
pixels is highly correlated with dimension (ρ = 0.941968961) | Rejected |
temporal_dct-corr has constant value "0.0" | Rejected |
temporal_dct-manhattan is highly correlated with temporal_dct-euclidean (ρ = 0.9191731706) | Rejected |
temporal_dct-max is highly correlated with temporal_dct-euclidean (ρ = 0.9054714712) | Rejected |
temporal_dct-mean is highly correlated with temporal_dct-manhattan (ρ = 0.9999300536) | Rejected |
temporal_dct-std is highly correlated with temporal_dct-max (ρ = 0.9765588113) | Rejected |
temporal_gaussian_difference-corr has constant value "0.0" | Rejected |
temporal_gaussian_difference-manhattan is highly correlated with temporal_gaussian_difference-euclidean (ρ = 0.9456971028) | Rejected |
temporal_gaussian_difference-mean is highly correlated with temporal_gaussian_difference-manhattan (ρ = 0.9999139768) | Rejected |
temporal_gaussian_difference-std is highly correlated with temporal_gaussian_difference-max (ρ = 0.9672691428) | Rejected |
temporal_gaussian_mse-corr has constant value "0.0" | Rejected |
temporal_gaussian_mse-euclidean is highly correlated with temporal_gaussian_difference-std (ρ = 0.9697791317) | Rejected |
temporal_gaussian_mse-manhattan is highly correlated with temporal_gaussian_mse-euclidean (ρ = 0.9710338281) | Rejected |
temporal_gaussian_mse-max is highly correlated with temporal_gaussian_mse-manhattan (ρ = 0.9086195337) | Rejected |
temporal_gaussian_mse-mean is highly correlated with temporal_gaussian_mse-max (ρ = 0.9084856487) | Rejected |
temporal_gaussian_mse-series has a high cardinality: 29569 distinct values | Warning |
temporal_gaussian_mse-std is highly correlated with temporal_gaussian_mse-mean (ρ = 0.9550816959) | Rejected |
temporal_psnr-manhattan is highly correlated with temporal_psnr-euclidean (ρ = 0.9921359631) | Rejected |
temporal_psnr-mean is highly correlated with temporal_psnr-corr (ρ = 0.995760754) | Rejected |
temporal_ssim-manhattan is highly correlated with temporal_ssim-euclidean (ρ = 0.9962524218) | Rejected |
temporal_ssim-mean is highly correlated with temporal_ssim-corr (ρ = 0.9929380689) | Rejected |
temporal_threshold_gaussian_difference-corr has constant value "0.0" | Rejected |
temporal_threshold_gaussian_difference-euclidean has 10616 (26.3%) zeros | Zeros |
temporal_threshold_gaussian_difference-manhattan is highly correlated with temporal_threshold_gaussian_difference-euclidean (ρ = 0.9437301362) | Rejected |
temporal_threshold_gaussian_difference-max is highly correlated with temporal_threshold_gaussian_difference-euclidean (ρ = 0.9078857745) | Rejected |
temporal_threshold_gaussian_difference-mean is highly correlated with temporal_threshold_gaussian_difference-manhattan (ρ = 0.9998740525) | Rejected |
temporal_threshold_gaussian_difference-series has a high cardinality: 28753 distinct values | Warning |
temporal_threshold_gaussian_difference-std is highly correlated with temporal_threshold_gaussian_difference-max (ρ = 0.9528810237) | Rejected |
attack
Path
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Common prefix | /tmp/ |
| Value | Count | Frequency (%) | |
| /tmp/144_40/vimeo/298460585.mp4 | 1 | < 0.1% | |
| /tmp/480_25/vimeo/67592690.mp4 | 1 | < 0.1% | |
| /tmp/480_32/vimeo/162670765.mp4 | 1 | < 0.1% | |
| /tmp/288_32/vimeo/180314565.mp4 | 1 | < 0.1% | |
| /tmp/1080_45/vimeo/183956348.mp4 | 1 | < 0.1% | |
| /tmp/720_45/vimeo/149571751.mp4 | 1 | < 0.1% | |
| /tmp/384_14/vimeo/220511339.mp4 | 1 | < 0.1% | |
| /tmp/1080_14/vimeo/183956348.mp4 | 1 | < 0.1% | |
| /tmp/384_25/vimeo/221178360.mp4 | 1 | < 0.1% | |
| /tmp/384_32/vimeo/132275473.mp4 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
| Value | Count | Frequency (%) | |
| 282613720 | 42 | 0.1% | |
| 124083564 | 42 | 0.1% | |
| 223638407 | 42 | 0.1% | |
| 137495055 | 42 | 0.1% | |
| 286764988 | 42 | 0.1% | |
| 64224323 | 42 | 0.1% | |
| 90104510 | 42 | 0.1% | |
| 171564083 | 42 | 0.1% | |
| 190671135 | 42 | 0.1% | |
| 258946256 | 42 | 0.1% | |
| Other values (962) | 39944 | 99.0% |
| Value | Count | Frequency (%) | |
| 147161290.mp4 | 42 | 0.1% | |
| 291908182.mp4 | 42 | 0.1% | |
| 195706862.mp4 | 42 | 0.1% | |
| 116231562.mp4 | 42 | 0.1% | |
| 289435274.mp4 | 42 | 0.1% | |
| 153878361.mp4 | 42 | 0.1% | |
| 264934247.mp4 | 42 | 0.1% | |
| 119359193.mp4 | 42 | 0.1% | |
| 56385466.mp4 | 42 | 0.1% | |
| 197032404.mp4 | 42 | 0.1% | |
| Other values (962) | 39944 | 99.0% |
| Value | Count | Frequency (%) | |
| .mp4 | 40364 | 100.0% |
| Value | Count | Frequency (%) | |
| /tmp/288_14/vimeo | 972 | 2.4% | |
| /tmp/288_40/vimeo | 972 | 2.4% | |
| /tmp/144_25/vimeo | 972 | 2.4% | |
| /tmp/288_45/vimeo | 972 | 2.4% | |
| /tmp/288_21/vimeo | 972 | 2.4% | |
| /tmp/288_25/vimeo | 972 | 2.4% | |
| /tmp/288_18/vimeo | 972 | 2.4% | |
| /tmp/144_21/vimeo | 972 | 2.4% | |
| /tmp/288_32/vimeo | 972 | 2.4% | |
| /tmp/144_32/vimeo | 972 | 2.4% | |
| Other values (32) | 30644 | 75.9% |
dimension
Numeric
| Distinct count | 73 |
|---|---|
| Unique (%) | 0.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 911.7749975 |
|---|---|
| Minimum | 144 |
| Maximum | 2520 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 144 |
|---|---|
| 5-th percentile | 256 |
| Q1 | 512 |
| Median | 682 |
| Q3 | 1280 |
| 95-th percentile | 1920 |
| Maximum | 2520 |
| Range | 2376 |
| Interquartile range | 768 |
Descriptive statistics
| Standard deviation | 548.4049784 |
|---|---|
| Coef of variation | 0.6014696388 |
| Kurtosis | -0.6587581546 |
| Mean | 911.7749975 |
| MAD | 454.6041055 |
| Skewness | 0.7139961929 |
| Sum | 36802886 |
| Variance | 300748.0203 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 512 | 6692 | 16.6% | |
| 256 | 6676 | 16.5% | |
| 682 | 6643 | 16.5% | |
| 1920 | 6633 | 16.4% | |
| 854 | 6546 | 16.2% | |
| 1280 | 6432 | 15.9% | |
| 384 | 49 | 0.1% | |
| 480 | 49 | 0.1% | |
| 288 | 35 | 0.1% | |
| 720 | 35 | 0.1% | |
| Other values (63) | 574 | 1.4% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 144 | 35 | 0.1% | |
| 192 | 14 | < 0.1% | |
| 230 | 7 | < 0.1% | |
| 234 | 7 | < 0.1% | |
| 236 | 7 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 2520 | 7 | < 0.1% | |
| 2048 | 7 | < 0.1% | |
| 2000 | 7 | < 0.1% | |
| 1920 | 6633 | 16.4% | |
| 1906 | 7 | < 0.1% |
fps
Numeric
| Distinct count | 11 |
|---|---|
| Unique (%) | < 0.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 25.67693985 |
|---|---|
| Minimum | 15 |
| Maximum | 60 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 23 |
| Q1 | 24 |
| Median | 25 |
| Q3 | 25 |
| 95-th percentile | 30 |
| Maximum | 60 |
| Range | 45 |
| Interquartile range | 1 |
Descriptive statistics
| Standard deviation | 3.88726786 |
|---|---|
| Coef of variation | 0.1513913996 |
| Kurtosis | 42.78100593 |
| Mean | 25.67693985 |
| MAD | 2.253204991 |
| Skewness | 5.256848011 |
| Sum | 1036424 |
| Variance | 15.11085141 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 25 | 15488 | 38.4% | |
| 24 | 8740 | 21.7% | |
| 23 | 6580 | 16.3% | |
| 30 | 4490 | 11.1% | |
| 29 | 4394 | 10.9% | |
| 60 | 252 | 0.6% | |
| 15 | 210 | 0.5% | |
| 20 | 84 | 0.2% | |
| 59 | 42 | 0.1% | |
| 50 | 42 | 0.1% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 15 | 210 | 0.5% | |
| 20 | 84 | 0.2% | |
| 23 | 6580 | 16.3% | |
| 24 | 8740 | 21.7% | |
| 25 | 15488 | 38.4% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 60 | 252 | 0.6% | |
| 59 | 42 | 0.1% | |
| 50 | 42 | 0.1% | |
| 35 | 42 | 0.1% | |
| 30 | 4490 | 11.1% |
kind
Constant
This variable is constant and should be ignored for analysis
| Constant value | features_input_QoE |
|---|
path
Path
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Common prefix | /tmp/ |
| Value | Count | Frequency (%) | |
| /tmp/144_40/vimeo/298460585.mp4 | 1 | < 0.1% | |
| /tmp/480_25/vimeo/67592690.mp4 | 1 | < 0.1% | |
| /tmp/480_32/vimeo/162670765.mp4 | 1 | < 0.1% | |
| /tmp/288_32/vimeo/180314565.mp4 | 1 | < 0.1% | |
| /tmp/1080_45/vimeo/183956348.mp4 | 1 | < 0.1% | |
| /tmp/720_45/vimeo/149571751.mp4 | 1 | < 0.1% | |
| /tmp/384_14/vimeo/220511339.mp4 | 1 | < 0.1% | |
| /tmp/1080_14/vimeo/183956348.mp4 | 1 | < 0.1% | |
| /tmp/384_25/vimeo/221178360.mp4 | 1 | < 0.1% | |
| /tmp/384_32/vimeo/132275473.mp4 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
| Value | Count | Frequency (%) | |
| 282613720 | 42 | 0.1% | |
| 124083564 | 42 | 0.1% | |
| 223638407 | 42 | 0.1% | |
| 137495055 | 42 | 0.1% | |
| 286764988 | 42 | 0.1% | |
| 64224323 | 42 | 0.1% | |
| 90104510 | 42 | 0.1% | |
| 171564083 | 42 | 0.1% | |
| 190671135 | 42 | 0.1% | |
| 258946256 | 42 | 0.1% | |
| Other values (962) | 39944 | 99.0% |
| Value | Count | Frequency (%) | |
| 147161290.mp4 | 42 | 0.1% | |
| 291908182.mp4 | 42 | 0.1% | |
| 195706862.mp4 | 42 | 0.1% | |
| 116231562.mp4 | 42 | 0.1% | |
| 289435274.mp4 | 42 | 0.1% | |
| 153878361.mp4 | 42 | 0.1% | |
| 264934247.mp4 | 42 | 0.1% | |
| 119359193.mp4 | 42 | 0.1% | |
| 56385466.mp4 | 42 | 0.1% | |
| 197032404.mp4 | 42 | 0.1% | |
| Other values (962) | 39944 | 99.0% |
| Value | Count | Frequency (%) | |
| .mp4 | 40364 | 100.0% |
| Value | Count | Frequency (%) | |
| /tmp/288_14/vimeo | 972 | 2.4% | |
| /tmp/288_40/vimeo | 972 | 2.4% | |
| /tmp/144_25/vimeo | 972 | 2.4% | |
| /tmp/288_45/vimeo | 972 | 2.4% | |
| /tmp/288_21/vimeo | 972 | 2.4% | |
| /tmp/288_25/vimeo | 972 | 2.4% | |
| /tmp/288_18/vimeo | 972 | 2.4% | |
| /tmp/144_21/vimeo | 972 | 2.4% | |
| /tmp/288_32/vimeo | 972 | 2.4% | |
| /tmp/144_32/vimeo | 972 | 2.4% | |
| Other values (32) | 30644 | 75.9% |
pixels
Highly correlated
This variable is highly correlated with dimension and should be ignored for analysis
| Correlation | 0.941968961 |
|---|
size
Numeric
| Distinct count | 39573 |
|---|---|
| Unique (%) | 98.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 1405273.007 |
|---|---|
| Minimum | 2943 |
| Maximum | 40235594 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 2943 |
|---|---|
| 5-th percentile | 22140.9 |
| Q1 | 105853.75 |
| Median | 374298.5 |
| Q3 | 1375809.5 |
| 95-th percentile | 6669635.2 |
| Maximum | 40235594 |
| Range | 40232651 |
| Interquartile range | 1269955.75 |
Descriptive statistics
| Standard deviation | 2674868.284 |
|---|---|
| Coef of variation | 1.903450981 |
| Kurtosis | 23.28305171 |
| Mean | 1405273.007 |
| MAD | 1600385.797 |
| Skewness | 4.005069278 |
| Sum | 5.672243967e+10 |
| Variance | 7.154920338e+12 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 23054 | 3 | < 0.1% | |
| 80180 | 3 | < 0.1% | |
| 13947 | 3 | < 0.1% | |
| 26202 | 3 | < 0.1% | |
| 129122 | 3 | < 0.1% | |
| 46107 | 3 | < 0.1% | |
| 12919 | 3 | < 0.1% | |
| 33206 | 3 | < 0.1% | |
| 21826 | 3 | < 0.1% | |
| 118434 | 3 | < 0.1% | |
| Other values (39563) | 40334 | 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 2943 | 1 | < 0.1% | |
| 3240 | 1 | < 0.1% | |
| 3401 | 1 | < 0.1% | |
| 3578 | 1 | < 0.1% | |
| 3615 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 40235594 | 1 | < 0.1% | |
| 39263428 | 1 | < 0.1% | |
| 39189779 | 1 | < 0.1% | |
| 35293272 | 1 | < 0.1% | |
| 33537235 | 1 | < 0.1% |
size_dimension_ratio
Numeric
| Distinct count | 40001 |
|---|---|
| Unique (%) | 99.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 1272.321471 |
|---|---|
| Minimum | 4.98984375 |
| Maximum | 23615.21328 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 4.98984375 |
|---|---|
| 5-th percentile | 50.59027371 |
| Q1 | 158.1066214 |
| Median | 525.0027034 |
| Q3 | 1606.341347 |
| 95-th percentile | 5013.594805 |
| Maximum | 23615.21328 |
| Range | 23610.22344 |
| Interquartile range | 1448.234725 |
Descriptive statistics
| Standard deviation | 1855.462786 |
|---|---|
| Coef of variation | 1.458328597 |
| Kurtosis | 13.3239973 |
| Mean | 1272.321471 |
| MAD | 1245.426785 |
| Skewness | 3.019857428 |
| Sum | 51355983.87 |
| Variance | 3442742.149 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 63.0078125 | 4 | < 0.1% | |
| 46.7734375 | 3 | < 0.1% | |
| 51.17578125 | 3 | < 0.1% | |
| 50.46484375 | 3 | < 0.1% | |
| 42.68359375 | 3 | < 0.1% | |
| 57.828125 | 3 | < 0.1% | |
| 48.03515625 | 3 | < 0.1% | |
| 62.19921875 | 3 | < 0.1% | |
| 74.78125 | 3 | < 0.1% | |
| 80.13671875 | 3 | < 0.1% | |
| Other values (39991) | 40333 | 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 4.98984375 | 1 | < 0.1% | |
| 5.526932084 | 1 | < 0.1% | |
| 5.8046875 | 1 | < 0.1% | |
| 6.11143695 | 1 | < 0.1% | |
| 6.117096019 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 23615.21328 | 1 | < 0.1% | |
| 20956.03854 | 1 | < 0.1% | |
| 20677.94297 | 1 | < 0.1% | |
| 20608.59922 | 1 | < 0.1% | |
| 20466.92506 | 1 | < 0.1% |
temporal_dct-corr
Constant
This variable is constant and should be ignored for analysis
| Constant value | 0.0 |
|---|
temporal_dct-euclidean
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 4.119114675 |
|---|---|
| Minimum | 0.01453176529 |
| Maximum | 162.5195606 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 0.01453176529 |
|---|---|
| 5-th percentile | 0.2436627088 |
| Q1 | 1.158444975 |
| Median | 2.358801264 |
| Q3 | 4.90898564 |
| 95-th percentile | 11.60542717 |
| Maximum | 162.5195606 |
| Range | 162.5050288 |
| Interquartile range | 3.750540665 |
Descriptive statistics
| Standard deviation | 7.365810175 |
|---|---|
| Coef of variation | 1.788202261 |
| Kurtosis | 112.8856023 |
| Mean | 4.119114675 |
| MAD | 3.341758469 |
| Skewness | 9.043875137 |
| Sum | 166263.9447 |
| Variance | 54.25515953 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 2.232907385 | 1 | < 0.1% | |
| 3.370513355 | 1 | < 0.1% | |
| 0.2476981946 | 1 | < 0.1% | |
| 1.627049905 | 1 | < 0.1% | |
| 12.43050699 | 1 | < 0.1% | |
| 8.698185675 | 1 | < 0.1% | |
| 2.85787499 | 1 | < 0.1% | |
| 1.759387329 | 1 | < 0.1% | |
| 0.3484864816 | 1 | < 0.1% | |
| 0.3322673054 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0.01453176529 | 1 | < 0.1% | |
| 0.01802856572 | 1 | < 0.1% | |
| 0.01886548862 | 1 | < 0.1% | |
| 0.02183742257 | 1 | < 0.1% | |
| 0.02323348447 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 162.5195606 | 1 | < 0.1% | |
| 133.0345214 | 1 | < 0.1% | |
| 120.1778289 | 1 | < 0.1% | |
| 120.1188146 | 1 | < 0.1% | |
| 119.9999522 | 1 | < 0.1% |
temporal_dct-manhattan
Highly correlated
This variable is highly correlated with temporal_dct-euclidean and should be ignored for analysis
| Correlation | 0.9191731706 |
|---|
temporal_dct-max
Highly correlated
This variable is highly correlated with temporal_dct-euclidean and should be ignored for analysis
| Correlation | 0.9054714712 |
|---|
temporal_dct-mean
Highly correlated
This variable is highly correlated with temporal_dct-manhattan and should be ignored for analysis
| Correlation | 0.9999300536 |
|---|
temporal_dct-series
Categorical, Unique
| First 5 values |
|---|
| [ 0.72795 1.13392 1.27722 1.54819 6.72906 2.02569 2.51932\n 6.78828 1.43575 2.06825 1.90088 6.39774 107.9052 1.46529\n 2.05629 10.95276 2.1 1.29226 31.14827 21.17417 7.4681\n 7.31998 6.96158 18.69269 0.46253 2.46558 8.49911 3.50967\n 15.28201] |
| [ 0.79491 0.97812 0.57982 0.8699 5.98676 1.88932 2.58885\n 8.52301 1.89385 2.69438 1.99249 11.72328 107.97732 1.28787\n 1.10134 9.15798 2.21513 0.92713 30.78649 21.23236 7.05689\n 7.19758 6.88699 19.0506 0.21272 2.43649 11.3373 3.58032\n 15.3776 ] |
| [ 0.80181 0.98153 0.57943 0.87062 5.9928 1.89937 2.58579\n 8.52101 1.89327 2.68935 1.99707 11.72618 107.98372 1.28772\n 1.09495 9.14652 2.21208 0.9207 30.76909 21.245 7.06857\n 7.18232 6.89847 19.06152 0.21074 2.43212 11.33771 3.59082\n 15.38839] |
| [ 0.82094 0.97886 0.59666 0.8496 6.00497 1.88644 2.60217\n 8.39293 1.88336 2.57607 2.02695 11.78079 107.98091 1.28746\n 1.0933 9.27899 2.19134 0.92436 30.76365 21.23858 7.05415\n 7.13597 6.84622 19.05054 0.22314 2.42547 11.26691 3.58\n 15.39358] |
| [ 0.82329 0.99268 0.57724 0.87217 5.99744 1.87739 2.58267\n 8.48892 1.87869 2.66553 2.00177 11.76718 107.98393 1.28277\n 1.09034 9.22896 2.21095 0.89838 30.7676 21.23859 7.08591\n 7.18276 6.88916 19.05783 0.20688 2.45774 11.35181 3.56672\n 15.38689] |
| Last 5 values |
|---|
| [9.7690e-02 2.7661e-01 4.2110e-02 5.2570e-02 8.4940e-02 2.6783e-01\n 4.2450e-02 5.7270e-02 2.7294e-01 4.9290e-02 2.6362e-01 1.5478e-01\n 2.0140e-01 1.4462e-01 1.1313e-01 6.3120e-02 1.9523e-01 1.7395e-01\n 1.4888e-01 9.7370e-02 7.0220e-02 7.4850e-02 2.6800e-03 4.7000e-04\n 5.8000e-04 5.8000e-04 5.8000e-04 1.1000e-04] |
| [9.78485 9.83381 9.90713 9.77858 9.88441 9.87952 9.87357 9.84901 9.71784\n 9.66853 9.63171 9.65534 9.48754 9.59297 9.46597 9.58056 9.50648 9.47835\n 9.33777 9.40407 9.41405 9.21284 9.30975 9.28817 7.3394 7.35579 7.32244\n 6.93738 6.59119] |
| [9.8120e-02 2.0584e-01 2.3131e-01 1.5785e-01 1.2019e-01 9.7800e-02\n 4.7050e-02 1.9000e-04 1.2510e-02 8.8790e-02 3.4164e-01 3.6328e-01\n 1.4285e-01 1.1248e-01 1.4073e-01 1.6775e-01 1.3877e-01 1.5532e-01\n 2.9782e-01 2.1600e-01 1.4806e-01 1.4394e-01 1.5299e-01 1.2766e-01\n 1.1347e-01 1.1508e-01 1.9757e-01 1.2160e-01 1.2271e-01] |
| [9.8990e-02 1.8534e-01 4.5599e-01 6.7506e-01 1.2974e-01 1.2730e-01\n 4.0578e-01 1.2750e-01 3.6620e-01 3.3863e-01 9.9410e-02 1.6885e-01\n 1.8898e-01 7.1070e-02 1.3791e-01 1.0119e-01 1.5436e-01 7.7960e-02\n 6.2820e-02 1.0200e-03 1.0200e-03 5.4800e-03 7.1900e-02 5.9000e-04\n 2.0000e-05 4.3010e-02 2.2660e-02 6.5362e-01 4.3465e-01] |
| [9.950e-03 5.661e-02 1.579e-02 1.006e-02 2.500e-03 2.190e-03 2.190e-03\n 3.270e-03 8.370e-03 9.010e-03 4.440e-03 8.320e-03 1.618e-02 9.780e-03\n 7.600e-03 8.850e-03 9.800e-03 1.259e-02 6.800e-03 6.810e-03 1.145e-02\n 6.416e-02 3.043e-02 1.870e-02 9.905e-02 2.300e-04 6.000e-05 0.000e+00\n 0.000e+00] |
First 5 values
| Value | Count | Frequency (%) | |
| [ 0.72795 1.13392 1.27722 1.54819 6.72906 2.02569 2.51932 6.78828 1.43575 2.06825 1.90088 6.39774 107.9052 1.46529 2.05629 10.95276 2.1 1.29226 31.14827 21.17417 7.4681 7.31998 6.96158 18.69269 0.46253 2.46558 8.49911 3.50967 15.28201] | 1 | < 0.1% | |
| [ 0.79491 0.97812 0.57982 0.8699 5.98676 1.88932 2.58885 8.52301 1.89385 2.69438 1.99249 11.72328 107.97732 1.28787 1.10134 9.15798 2.21513 0.92713 30.78649 21.23236 7.05689 7.19758 6.88699 19.0506 0.21272 2.43649 11.3373 3.58032 15.3776 ] | 1 | < 0.1% | |
| [ 0.80181 0.98153 0.57943 0.87062 5.9928 1.89937 2.58579 8.52101 1.89327 2.68935 1.99707 11.72618 107.98372 1.28772 1.09495 9.14652 2.21208 0.9207 30.76909 21.245 7.06857 7.18232 6.89847 19.06152 0.21074 2.43212 11.33771 3.59082 15.38839] | 1 | < 0.1% | |
| [ 0.82094 0.97886 0.59666 0.8496 6.00497 1.88644 2.60217 8.39293 1.88336 2.57607 2.02695 11.78079 107.98091 1.28746 1.0933 9.27899 2.19134 0.92436 30.76365 21.23858 7.05415 7.13597 6.84622 19.05054 0.22314 2.42547 11.26691 3.58 15.39358] | 1 | < 0.1% | |
| [ 0.82329 0.99268 0.57724 0.87217 5.99744 1.87739 2.58267 8.48892 1.87869 2.66553 2.00177 11.76718 107.98393 1.28277 1.09034 9.22896 2.21095 0.89838 30.7676 21.23859 7.08591 7.18276 6.88916 19.05783 0.20688 2.45774 11.35181 3.56672 15.38689] | 1 | < 0.1% |
Last 5 values
| Value | Count | Frequency (%) | |
| [9.950e-03 5.661e-02 1.579e-02 1.006e-02 2.500e-03 2.190e-03 2.190e-03 3.270e-03 8.370e-03 9.010e-03 4.440e-03 8.320e-03 1.618e-02 9.780e-03 7.600e-03 8.850e-03 9.800e-03 1.259e-02 6.800e-03 6.810e-03 1.145e-02 6.416e-02 3.043e-02 1.870e-02 9.905e-02 2.300e-04 6.000e-05 0.000e+00 0.000e+00] | 1 | < 0.1% | |
| [9.8990e-02 1.8534e-01 4.5599e-01 6.7506e-01 1.2974e-01 1.2730e-01 4.0578e-01 1.2750e-01 3.6620e-01 3.3863e-01 9.9410e-02 1.6885e-01 1.8898e-01 7.1070e-02 1.3791e-01 1.0119e-01 1.5436e-01 7.7960e-02 6.2820e-02 1.0200e-03 1.0200e-03 5.4800e-03 7.1900e-02 5.9000e-04 2.0000e-05 4.3010e-02 2.2660e-02 6.5362e-01 4.3465e-01] | 1 | < 0.1% | |
| [9.8120e-02 2.0584e-01 2.3131e-01 1.5785e-01 1.2019e-01 9.7800e-02 4.7050e-02 1.9000e-04 1.2510e-02 8.8790e-02 3.4164e-01 3.6328e-01 1.4285e-01 1.1248e-01 1.4073e-01 1.6775e-01 1.3877e-01 1.5532e-01 2.9782e-01 2.1600e-01 1.4806e-01 1.4394e-01 1.5299e-01 1.2766e-01 1.1347e-01 1.1508e-01 1.9757e-01 1.2160e-01 1.2271e-01] | 1 | < 0.1% | |
| [9.78485 9.83381 9.90713 9.77858 9.88441 9.87952 9.87357 9.84901 9.71784 9.66853 9.63171 9.65534 9.48754 9.59297 9.46597 9.58056 9.50648 9.47835 9.33777 9.40407 9.41405 9.21284 9.30975 9.28817 7.3394 7.35579 7.32244 6.93738 6.59119] | 1 | < 0.1% | |
| [9.7690e-02 2.7661e-01 4.2110e-02 5.2570e-02 8.4940e-02 2.6783e-01 4.2450e-02 5.7270e-02 2.7294e-01 4.9290e-02 2.6362e-01 1.5478e-01 2.0140e-01 1.4462e-01 1.1313e-01 6.3120e-02 1.9523e-01 1.7395e-01 1.4888e-01 9.7370e-02 7.0220e-02 7.4850e-02 2.6800e-03 4.7000e-04 5.8000e-04 5.8000e-04 5.8000e-04 1.1000e-04] | 1 | < 0.1% |
temporal_dct-std
Highly correlated
This variable is highly correlated with temporal_dct-max and should be ignored for analysis
| Correlation | 0.9765588113 |
|---|
temporal_gaussian_difference-corr
Constant
This variable is constant and should be ignored for analysis
| Constant value | 0.0 |
|---|
temporal_gaussian_difference-euclidean
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 3546.496877 |
|---|---|
| Minimum | 5.731688547 |
| Maximum | 110727.5189 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 5.731688547 |
|---|---|
| 5-th percentile | 241.93035 |
| Q1 | 877.7733538 |
| Median | 1877.165046 |
| Q3 | 4496.369976 |
| 95-th percentile | 10816.49594 |
| Maximum | 110727.5189 |
| Range | 110721.7872 |
| Interquartile range | 3618.596622 |
Descriptive statistics
| Standard deviation | 5883.574713 |
|---|---|
| Coef of variation | 1.658982065 |
| Kurtosis | 133.850686 |
| Mean | 3546.496877 |
| MAD | 2984.008147 |
| Skewness | 9.169215776 |
| Sum | 143150799.9 |
| Variance | 34616451.41 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 7987.110107 | 1 | < 0.1% | |
| 14676.28157 | 1 | < 0.1% | |
| 1695.239449 | 1 | < 0.1% | |
| 5519.060521 | 1 | < 0.1% | |
| 3668.124329 | 1 | < 0.1% | |
| 2318.706707 | 1 | < 0.1% | |
| 582.5578434 | 1 | < 0.1% | |
| 703.4754526 | 1 | < 0.1% | |
| 1103.670672 | 1 | < 0.1% | |
| 5036.732707 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 5.731688547 | 1 | < 0.1% | |
| 9.554152843 | 1 | < 0.1% | |
| 10.46715048 | 1 | < 0.1% | |
| 10.60127001 | 1 | < 0.1% | |
| 11.20381471 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 110727.5189 | 1 | < 0.1% | |
| 110662.0761 | 1 | < 0.1% | |
| 110661.2301 | 1 | < 0.1% | |
| 110633.8844 | 1 | < 0.1% | |
| 110621.1914 | 1 | < 0.1% |
temporal_gaussian_difference-manhattan
Highly correlated
This variable is highly correlated with temporal_gaussian_difference-euclidean and should be ignored for analysis
| Correlation | 0.9456971028 |
|---|
temporal_gaussian_difference-max
Numeric
| Distinct count | 40328 |
|---|---|
| Unique (%) | 99.9% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 1100.887281 |
|---|---|
| Minimum | 1.671194434 |
| Maximum | 67557.38281 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 1.671194434 |
|---|---|
| 5-th percentile | 71.89240875 |
| Q1 | 229.1272125 |
| Median | 498.0350647 |
| Q3 | 1152.323883 |
| 95-th percentile | 2935.762683 |
| Maximum | 67557.38281 |
| Range | 67555.71162 |
| Interquartile range | 923.1966705 |
Descriptive statistics
| Standard deviation | 3432.191576 |
|---|---|
| Coef of variation | 3.117659396 |
| Kurtosis | 233.3840585 |
| Mean | 1100.887281 |
| MAD | 1018.521486 |
| Skewness | 14.05073745 |
| Sum | 44436214.21 |
| Variance | 11779939.01 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 1006.94104 | 9 | < 0.1% | |
| 1021.380249 | 3 | < 0.1% | |
| 351.2277222 | 2 | < 0.1% | |
| 328.5512085 | 2 | < 0.1% | |
| 1016.470581 | 2 | < 0.1% | |
| 411.5232544 | 2 | < 0.1% | |
| 316.9831238 | 2 | < 0.1% | |
| 736.0081787 | 2 | < 0.1% | |
| 1083.163452 | 2 | < 0.1% | |
| 151.0310364 | 2 | < 0.1% | |
| Other values (40318) | 40336 | 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 1.671194434 | 1 | < 0.1% | |
| 2.773333549 | 1 | < 0.1% | |
| 3.318585396 | 1 | < 0.1% | |
| 3.581718922 | 1 | < 0.1% | |
| 3.664934874 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 67557.38281 | 1 | < 0.1% | |
| 67458.92188 | 1 | < 0.1% | |
| 67456.34375 | 1 | < 0.1% | |
| 67453.10938 | 1 | < 0.1% | |
| 67431.33594 | 1 | < 0.1% |
temporal_gaussian_difference-mean
Highly correlated
This variable is highly correlated with temporal_gaussian_difference-manhattan and should be ignored for analysis
| Correlation | 0.9999139768 |
|---|
temporal_gaussian_difference-series
Categorical, Unique
| First 5 values |
|---|
| [ 0. 0. 0. 0. 0. 0.\n 12.21809 42.23529 46.68166 87.81988 350.11636 374.18283\n 468.96832 485.14603 491.02618 450.64658 865.77838 833.12439\n 958.35376 747.98682 670.72327 913.22552 901.99579 518.56799\n 1029.23828 391.69254 471.39984 547.48193 581.33527] |
| [ 0. 0. 0. 0. 0. 0.\n 15.8902 56.95294 69.82285 134.87633 565.53522 590.14648\n 649.24817 628.59534 717.31073 756.01465 1019.91962 748.10492\n 1119.37976 770.61279 1143.24719 1162.20837 560.27643 1120.27612\n 938.69623 402.51758 510.29141 594.74719 625.85992] |
| [ 0. 0. 0. 0. 0. 0.\n 18.01961 60.19216 79.00511 150.13756 551.93622 589.76434\n 826.27264 800.49011 958.99512 853.20557 1437.10828 1519.38232\n 1573.53711 1355.27112 1228.33911 1641.43909 1676.42151 950.70422\n 1887.19299 594.51636 670.08118 751.74249 790.46649] |
| [ 0. 598.3291 662.62115 684.39819 928.10437 1027.37024\n 977.21832 859.54761 845.45941 940.02142 1119.026 1115.23352\n 1104.63806 501.55624 440.03812 436.17905 378.33902 494.61276\n 468.98801 481.74255 492.65042 481.1998 955.1355 1461.58887\n 1298.198 1318.85107 1350.93164 1304.79321 1337.52051] |
| [ 0. 628.96332 746.34021 819.96466 1096.72302 1337.60779\n 908.94348 1018.12061 900.23187 1019.00055 1250.47498 1204.33105\n 1196.40186 494.43921 526.57556 563.22003 343.65253 464.07996\n 455.7926 452.83218 483.11133 515.82928 960.46472 1122.91919\n 1059.36353 885.47369 910.90692 1070.07031 826.91455] |
| Last 5 values |
|---|
| [992.323 916.73669 797.49005 870.63989 821.38025 774.86688 552.45734\n 420.14285 503.31851 522.78821 531.46234 619.67188 504.52505 645.68512\n 640.98541 704.92023 683.05103 921.9187 760.62244 808.85028 963.14734\n 831.88995 870.48193 436.09534 491.57156 480.30701 538.0293 430.1778\n 475.28543] |
| [992.39691 334.55487 376.60452 434.15289 557.15509 708.09192 446.59979\n 615.86151 411.18826 584.1369 803.24884 744.66815 766.35162 727.74609\n 837.83734 705.37628 750.08447 733.92242 508.49069 763.45544 468.19998\n 980.7511 800.13745 711.15497 539.36963 840.70105 672.71783 282.40488\n 801.14587] |
| [994.34436 723.6217 859.17023 850.28247 854.25348 863.54022 855.17572\n 859.04852 855.54437 854.9649 825.15387 799.16321 809.65747 819.29163\n 800.51044 819.26282 794.79584 789.44727 757.94354 764.86694 732.96722\n 688.6239 760.05261 723.55536 748.84338 728.09064 729.47504 709.85883\n 709.60431] |
| [995.74457 970.38306 911.27289 401.51187 413.78278 417.0889 415.54974\n 415.03311 405.23026 394.55115 390.35156 401.88806 408.93338 413.24344\n 403.54056 401.86029 409.81641 402.20453 407.87173 420.26373 406.60181\n 428.48398 416.57159 397.12186 419.95773 409.013 399.68097 403.88327] |
| [997.46991 862.89984 853.41913 776.73364 773.25226 765.64783 761.82306\n 811.20862 793.73083 785.80383 758.98035 779.52771 762.03961 771.53552\n 773.62659 784.87939 742.23035 759.56854 718.59576 717.29083 738.11261\n 719.10919 725.60455 563.95135 607.56464 597.95197 588.40326 597.98376\n 622.95831] |
First 5 values
| Value | Count | Frequency (%) | |
| [ 0. 0. 0. 0. 0. 0. 12.21809 42.23529 46.68166 87.81988 350.11636 374.18283 468.96832 485.14603 491.02618 450.64658 865.77838 833.12439 958.35376 747.98682 670.72327 913.22552 901.99579 518.56799 1029.23828 391.69254 471.39984 547.48193 581.33527] | 1 | < 0.1% | |
| [ 0. 0. 0. 0. 0. 0. 15.8902 56.95294 69.82285 134.87633 565.53522 590.14648 649.24817 628.59534 717.31073 756.01465 1019.91962 748.10492 1119.37976 770.61279 1143.24719 1162.20837 560.27643 1120.27612 938.69623 402.51758 510.29141 594.74719 625.85992] | 1 | < 0.1% | |
| [ 0. 0. 0. 0. 0. 0. 18.01961 60.19216 79.00511 150.13756 551.93622 589.76434 826.27264 800.49011 958.99512 853.20557 1437.10828 1519.38232 1573.53711 1355.27112 1228.33911 1641.43909 1676.42151 950.70422 1887.19299 594.51636 670.08118 751.74249 790.46649] | 1 | < 0.1% | |
| [ 0. 598.3291 662.62115 684.39819 928.10437 1027.37024 977.21832 859.54761 845.45941 940.02142 1119.026 1115.23352 1104.63806 501.55624 440.03812 436.17905 378.33902 494.61276 468.98801 481.74255 492.65042 481.1998 955.1355 1461.58887 1298.198 1318.85107 1350.93164 1304.79321 1337.52051] | 1 | < 0.1% | |
| [ 0. 628.96332 746.34021 819.96466 1096.72302 1337.60779 908.94348 1018.12061 900.23187 1019.00055 1250.47498 1204.33105 1196.40186 494.43921 526.57556 563.22003 343.65253 464.07996 455.7926 452.83218 483.11133 515.82928 960.46472 1122.91919 1059.36353 885.47369 910.90692 1070.07031 826.91455] | 1 | < 0.1% |
Last 5 values
| Value | Count | Frequency (%) | |
| [997.46991 862.89984 853.41913 776.73364 773.25226 765.64783 761.82306 811.20862 793.73083 785.80383 758.98035 779.52771 762.03961 771.53552 773.62659 784.87939 742.23035 759.56854 718.59576 717.29083 738.11261 719.10919 725.60455 563.95135 607.56464 597.95197 588.40326 597.98376 622.95831] | 1 | < 0.1% | |
| [995.74457 970.38306 911.27289 401.51187 413.78278 417.0889 415.54974 415.03311 405.23026 394.55115 390.35156 401.88806 408.93338 413.24344 403.54056 401.86029 409.81641 402.20453 407.87173 420.26373 406.60181 428.48398 416.57159 397.12186 419.95773 409.013 399.68097 403.88327] | 1 | < 0.1% | |
| [994.34436 723.6217 859.17023 850.28247 854.25348 863.54022 855.17572 859.04852 855.54437 854.9649 825.15387 799.16321 809.65747 819.29163 800.51044 819.26282 794.79584 789.44727 757.94354 764.86694 732.96722 688.6239 760.05261 723.55536 748.84338 728.09064 729.47504 709.85883 709.60431] | 1 | < 0.1% | |
| [992.39691 334.55487 376.60452 434.15289 557.15509 708.09192 446.59979 615.86151 411.18826 584.1369 803.24884 744.66815 766.35162 727.74609 837.83734 705.37628 750.08447 733.92242 508.49069 763.45544 468.19998 980.7511 800.13745 711.15497 539.36963 840.70105 672.71783 282.40488 801.14587] | 1 | < 0.1% | |
| [992.323 916.73669 797.49005 870.63989 821.38025 774.86688 552.45734 420.14285 503.31851 522.78821 531.46234 619.67188 504.52505 645.68512 640.98541 704.92023 683.05103 921.9187 760.62244 808.85028 963.14734 831.88995 870.48193 436.09534 491.57156 480.30701 538.0293 430.1778 475.28543] | 1 | < 0.1% |
temporal_gaussian_difference-std
Highly correlated
This variable is highly correlated with temporal_gaussian_difference-max and should be ignored for analysis
| Correlation | 0.9672691428 |
|---|
temporal_gaussian_mse-corr
Constant
This variable is constant and should be ignored for analysis
| Constant value | 0.0 |
|---|
temporal_gaussian_mse-euclidean
Highly correlated
This variable is highly correlated with temporal_gaussian_difference-std and should be ignored for analysis
| Correlation | 0.9697791317 |
|---|
temporal_gaussian_mse-manhattan
Highly correlated
This variable is highly correlated with temporal_gaussian_mse-euclidean and should be ignored for analysis
| Correlation | 0.9710338281 |
|---|
temporal_gaussian_mse-max
Highly correlated
This variable is highly correlated with temporal_gaussian_mse-manhattan and should be ignored for analysis
| Correlation | 0.9086195337 |
|---|
temporal_gaussian_mse-mean
Highly correlated
This variable is highly correlated with temporal_gaussian_mse-max and should be ignored for analysis
| Correlation | 0.9084856487 |
|---|
temporal_gaussian_mse-series
Categorical
| Distinct count | 29569 |
|---|---|
| Unique (%) | 73.3% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | |
|---|---|
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 1028 |
| [1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05] | 551 |
| Other values (29566) |
| Value | Count | Frequency (%) | |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 6502 | 16.1% | |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 1028 | 2.5% | |
| [1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05] | 551 | 1.4% | |
| [1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05] | 99 | 0.2% | |
| [2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05] | 61 | 0.2% | |
| [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05] | 47 | 0.1% | |
| [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 1.e-05] | 39 | 0.1% | |
| [1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] | 34 | 0.1% | |
| [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] | 28 | 0.1% | |
| [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] | 28 | 0.1% | |
| Other values (29559) | 31947 | 79.1% |
| Max length | 324 |
|---|---|
| Mean length | 193.341542 |
| Min length | 86 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
temporal_gaussian_mse-std
Highly correlated
This variable is highly correlated with temporal_gaussian_mse-mean and should be ignored for analysis
| Correlation | 0.9550816959 |
|---|
temporal_psnr-corr
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 83584.59653 |
|---|---|
| Minimum | 59871.17706 |
| Maximum | 177964.3438 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 59871.17706 |
|---|---|
| 5-th percentile | 67716.08698 |
| Q1 | 74695.43533 |
| Median | 81698.23531 |
| Q3 | 90086.60181 |
| 95-th percentile | 106331.0811 |
| Maximum | 177964.3438 |
| Range | 118093.1667 |
| Interquartile range | 15391.16648 |
Descriptive statistics
| Standard deviation | 12250.46739 |
|---|---|
| Coef of variation | 0.146563696 |
| Kurtosis | 3.876533986 |
| Mean | 83584.59653 |
| MAD | 9395.993167 |
| Skewness | 1.291145311 |
| Sum | 3373808654 |
| Variance | 150073951.3 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 88453.25555 | 1 | < 0.1% | |
| 69674.47424 | 1 | < 0.1% | |
| 89492.44773 | 1 | < 0.1% | |
| 83888.30161 | 1 | < 0.1% | |
| 66020.95679 | 1 | < 0.1% | |
| 81710.82356 | 1 | < 0.1% | |
| 75770.53055 | 1 | < 0.1% | |
| 67744.11729 | 1 | < 0.1% | |
| 82793.52092 | 1 | < 0.1% | |
| 90803.27968 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 59871.17706 | 1 | < 0.1% | |
| 60469.617 | 1 | < 0.1% | |
| 60608.29037 | 1 | < 0.1% | |
| 60640.61551 | 1 | < 0.1% | |
| 60919.52497 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 177964.3438 | 1 | < 0.1% | |
| 176762.9713 | 1 | < 0.1% | |
| 175810.8464 | 1 | < 0.1% | |
| 175749.8221 | 1 | < 0.1% | |
| 174711.0107 | 1 | < 0.1% |
temporal_psnr-euclidean
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 330.4282733 |
|---|---|
| Minimum | 152.1829825 |
| Maximum | 387.6966594 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 152.1829825 |
|---|---|
| 5-th percentile | 274.4974664 |
| Q1 | 314.178626 |
| Median | 334.8394454 |
| Q3 | 352.0641969 |
| 95-th percentile | 369.3493012 |
| Maximum | 387.6966594 |
| Range | 235.5136769 |
| Interquartile range | 37.88557092 |
Descriptive statistics
| Standard deviation | 29.28697724 |
|---|---|
| Coef of variation | 0.08863338766 |
| Kurtosis | 1.38683736 |
| Mean | 330.4282733 |
| MAD | 22.89581597 |
| Skewness | -0.9721039473 |
| Sum | 13337406.82 |
| Variance | 857.7270357 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 313.1308094 | 1 | < 0.1% | |
| 357.0440637 | 1 | < 0.1% | |
| 321.1471664 | 1 | < 0.1% | |
| 373.4374766 | 1 | < 0.1% | |
| 346.7593425 | 1 | < 0.1% | |
| 192.9891809 | 1 | < 0.1% | |
| 309.5822519 | 1 | < 0.1% | |
| 323.3792173 | 1 | < 0.1% | |
| 356.5277778 | 1 | < 0.1% | |
| 357.3009331 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 152.1829825 | 1 | < 0.1% | |
| 157.9248027 | 1 | < 0.1% | |
| 159.7663065 | 1 | < 0.1% | |
| 162.4957375 | 1 | < 0.1% | |
| 167.2761364 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 387.6966594 | 1 | < 0.1% | |
| 387.2282385 | 1 | < 0.1% | |
| 386.440142 | 1 | < 0.1% | |
| 385.6279588 | 1 | < 0.1% | |
| 385.483522 | 1 | < 0.1% |
temporal_psnr-manhattan
Highly correlated
This variable is highly correlated with temporal_psnr-euclidean and should be ignored for analysis
| Correlation | 0.9921359631 |
|---|
temporal_psnr-max
Numeric
| Distinct count | 39248 |
|---|---|
| Unique (%) | 97.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 42.91037384 |
|---|---|
| Minimum | 28.44329412 |
| Maximum | 100 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 28.44329412 |
|---|---|
| 5-th percentile | 32.6475996 |
| Q1 | 36.83668299 |
| Median | 41.02032172 |
| Q3 | 45.94731594 |
| 95-th percentile | 57.87404775 |
| Maximum | 100 |
| Range | 71.55670588 |
| Interquartile range | 9.110632947 |
Descriptive statistics
| Standard deviation | 10.16841755 |
|---|---|
| Coef of variation | 0.2369687477 |
| Kurtosis | 12.62332187 |
| Mean | 42.91037384 |
| MAD | 6.531381908 |
| Skewness | 2.940768367 |
| Sum | 1732034.33 |
| Variance | 103.3967155 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 100 | 485 | 1.2% | |
| 99.25685362 | 28 | 0.1% | |
| 88.46504116 | 24 | 0.1% | |
| 42.1102037 | 22 | 0.1% | |
| 85.45474121 | 21 | 0.1% | |
| 79.30050168 | 19 | < 0.1% | |
| 90.80587322 | 18 | < 0.1% | |
| 80.62362502 | 17 | < 0.1% | |
| 64.52928913 | 10 | < 0.1% | |
| 94.48564108 | 9 | < 0.1% | |
| Other values (39238) | 39711 | 98.4% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 28.44329412 | 1 | < 0.1% | |
| 28.49698053 | 1 | < 0.1% | |
| 28.75350624 | 1 | < 0.1% | |
| 28.75986663 | 1 | < 0.1% | |
| 28.84566053 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 100 | 485 | 1.2% | |
| 99.25685362 | 28 | 0.1% | |
| 96.24655367 | 7 | < 0.1% | |
| 94.48564108 | 9 | < 0.1% | |
| 93.23625371 | 4 | < 0.1% |
temporal_psnr-mean
Highly correlated
This variable is highly correlated with temporal_psnr-corr and should be ignored for analysis
| Correlation | 0.995760754 |
|---|
temporal_psnr-series
Categorical, Unique
| First 5 values |
|---|
| [ 30.21907 30.2913 30.2604 100. 100. 30.72526 30.46702\n 30.1276 30.325 30.42513 30.37465 30.56314 30.42856 30.3858\n 30.35702 30.33249 30.34044 30.30547 30.74703 31.26045 31.12264\n 31.11406 30.97497 30.93856 33.03025 33.62659 32.61995 32.57194\n 32.57551] |
| [ 30.35626 30.39277 30.40829 30.3508 30.37771 32.04481 30.94625\n 30.90098 30.01659 31.84323 30.37686 30.14727 100. 35.59774\n 35.34651 35.01674 35.17855 35.48907 35.46449 35.55385 35.47344\n 35.43882 35.51077 35.5121 35.48618 35.46724 35.40713 35.42599\n 35.39419] |
| [ 30.76513 30.90451 30.87771 100. 100. 31.10875 30.82025\n 30.62232 30.81909 30.93148 30.84125 31.1364 30.93382 30.98936\n 31.01662 30.89425 30.87587 30.84144 31.07538 31.76532 31.57369\n 31.54068 31.37332 31.32829 33.74638 33.69373 33.03267 32.94015\n 32.92019] |
| [ 30.76636 30.49651 30.61227 30.48718 30.6051 32.11628 31.15546\n 31.084 30.20685 32.10728 30.75132 30.52768 100. 37.37847\n 37.28008 37.27135 37.26606 37.17231 37.06628 37.08986 37.03902\n 37.03149 37.05911 36.95887 36.93294 36.93811 36.88391 36.97549\n 36.80208] |
| [ 30.81692 100. 31.60793 100. 30.43998 35.93097 41.97718\n 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148\n 42.40148 42.40148 42.40148 42.40148 100. 30.11069 30.31195\n 30.09743 29.79753 29.57653 42.1171 42.1171 42.1171 30.91505] |
| Last 5 values |
|---|
| [89.25685 33.47977 33.25963 33.21923 33.38079 33.60718 35.44445 35.44487\n 36.71838 36.61812 39.65959 39.96876 39.8859 40.04803 41.95403 41.99957\n 42.86496 44.49273 45.18544 45.37646 46.3715 47.10103 47.4478 46.27796\n 47.26185 46.4307 47.88984 47.83014 44.4197 ] |
| [89.25685 42.23099 39.11325 40.61758 39.60064 41.1825 44.07206 44.24006\n 43.63014 45.10366 46.9647 47.00392 45.76933 47.20116 48.03706 48.7038\n 49.35764 50.77195 52.17477 53.17448 52.03743 52.80263 53.65647 53.47688\n 53.14674 52.61448 52.70691 53.22595 51.8307 ] |
| [90.22595 31.58485 31.56733 31.56745 31.62857 31.83053 33.03056 33.00388\n 34.17946 34.57273 37.3849 37.58111 37.60328 38.07054 39.55132 39.71072\n 40.60528 41.96484 43.05922 43.05393 43.98498 44.33104 44.40666 44.56646\n 44.59831 44.19699 45.16886 44.69333 42.40378] |
| [91.47534 31.70106 31.71711 31.67843 31.76697 31.94891 33.21341 33.18477\n 34.38822 34.74139 37.60449 37.76878 37.90149 38.33786 39.77714 39.97718\n 40.83723 42.25916 43.1272 43.37288 44.25814 44.33202 44.65786 44.80045\n 44.75536 44.55743 45.42107 44.84165 42.56964] |
| [93.23625 33.63569 33.55287 33.50474 33.69925 33.92122 35.70338 35.69502\n 36.98262 36.96615 39.90306 40.23767 40.22314 40.43597 42.18657 42.34599\n 43.31302 44.76998 45.45306 45.61166 46.45351 47.26032 47.45927 46.88182\n 47.45023 47.24723 48.08368 47.80872 44.46953] |
First 5 values
| Value | Count | Frequency (%) | |
| [ 30.21907 30.2913 30.2604 100. 100. 30.72526 30.46702 30.1276 30.325 30.42513 30.37465 30.56314 30.42856 30.3858 30.35702 30.33249 30.34044 30.30547 30.74703 31.26045 31.12264 31.11406 30.97497 30.93856 33.03025 33.62659 32.61995 32.57194 32.57551] | 1 | < 0.1% | |
| [ 30.35626 30.39277 30.40829 30.3508 30.37771 32.04481 30.94625 30.90098 30.01659 31.84323 30.37686 30.14727 100. 35.59774 35.34651 35.01674 35.17855 35.48907 35.46449 35.55385 35.47344 35.43882 35.51077 35.5121 35.48618 35.46724 35.40713 35.42599 35.39419] | 1 | < 0.1% | |
| [ 30.76513 30.90451 30.87771 100. 100. 31.10875 30.82025 30.62232 30.81909 30.93148 30.84125 31.1364 30.93382 30.98936 31.01662 30.89425 30.87587 30.84144 31.07538 31.76532 31.57369 31.54068 31.37332 31.32829 33.74638 33.69373 33.03267 32.94015 32.92019] | 1 | < 0.1% | |
| [ 30.76636 30.49651 30.61227 30.48718 30.6051 32.11628 31.15546 31.084 30.20685 32.10728 30.75132 30.52768 100. 37.37847 37.28008 37.27135 37.26606 37.17231 37.06628 37.08986 37.03902 37.03149 37.05911 36.95887 36.93294 36.93811 36.88391 36.97549 36.80208] | 1 | < 0.1% | |
| [ 30.81692 100. 31.60793 100. 30.43998 35.93097 41.97718 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 42.40148 100. 30.11069 30.31195 30.09743 29.79753 29.57653 42.1171 42.1171 42.1171 30.91505] | 1 | < 0.1% |
Last 5 values
| Value | Count | Frequency (%) | |
| [93.23625 33.63569 33.55287 33.50474 33.69925 33.92122 35.70338 35.69502 36.98262 36.96615 39.90306 40.23767 40.22314 40.43597 42.18657 42.34599 43.31302 44.76998 45.45306 45.61166 46.45351 47.26032 47.45927 46.88182 47.45023 47.24723 48.08368 47.80872 44.46953] | 1 | < 0.1% | |
| [91.47534 31.70106 31.71711 31.67843 31.76697 31.94891 33.21341 33.18477 34.38822 34.74139 37.60449 37.76878 37.90149 38.33786 39.77714 39.97718 40.83723 42.25916 43.1272 43.37288 44.25814 44.33202 44.65786 44.80045 44.75536 44.55743 45.42107 44.84165 42.56964] | 1 | < 0.1% | |
| [90.22595 31.58485 31.56733 31.56745 31.62857 31.83053 33.03056 33.00388 34.17946 34.57273 37.3849 37.58111 37.60328 38.07054 39.55132 39.71072 40.60528 41.96484 43.05922 43.05393 43.98498 44.33104 44.40666 44.56646 44.59831 44.19699 45.16886 44.69333 42.40378] | 1 | < 0.1% | |
| [89.25685 42.23099 39.11325 40.61758 39.60064 41.1825 44.07206 44.24006 43.63014 45.10366 46.9647 47.00392 45.76933 47.20116 48.03706 48.7038 49.35764 50.77195 52.17477 53.17448 52.03743 52.80263 53.65647 53.47688 53.14674 52.61448 52.70691 53.22595 51.8307 ] | 1 | < 0.1% | |
| [89.25685 33.47977 33.25963 33.21923 33.38079 33.60718 35.44445 35.44487 36.71838 36.61812 39.65959 39.96876 39.8859 40.04803 41.95403 41.99957 42.86496 44.49273 45.18544 45.37646 46.3715 47.10103 47.4478 46.27796 47.26185 46.4307 47.88984 47.83014 44.4197 ] | 1 | < 0.1% |
temporal_psnr-std
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 1.850089953 |
|---|---|
| Minimum | 0.005497487238 |
| Maximum | 33.51990936 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 0.005497487238 |
|---|---|
| 5-th percentile | 0.2338915481 |
| Q1 | 0.7121241445 |
| Median | 1.290482388 |
| Q3 | 2.148515566 |
| 95-th percentile | 4.593437394 |
| Maximum | 33.51990936 |
| Range | 33.51441187 |
| Interquartile range | 1.436391422 |
Descriptive statistics
| Standard deviation | 2.460928404 |
|---|---|
| Coef of variation | 1.330166893 |
| Kurtosis | 46.80277819 |
| Mean | 1.850089953 |
| MAD | 1.249117367 |
| Skewness | 5.810814055 |
| Sum | 74677.03085 |
| Variance | 6.056168611 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 1.932405595 | 1 | < 0.1% | |
| 0.9352926965 | 1 | < 0.1% | |
| 1.289312771 | 1 | < 0.1% | |
| 0.1205473572 | 1 | < 0.1% | |
| 0.9092450161 | 1 | < 0.1% | |
| 1.675160219 | 1 | < 0.1% | |
| 6.013329808 | 1 | < 0.1% | |
| 3.931932794 | 1 | < 0.1% | |
| 0.5514473074 | 1 | < 0.1% | |
| 0.1424364033 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0.005497487238 | 1 | < 0.1% | |
| 0.006637503531 | 1 | < 0.1% | |
| 0.006793954578 | 1 | < 0.1% | |
| 0.00745057876 | 1 | < 0.1% | |
| 0.008797059172 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 33.51990936 | 1 | < 0.1% | |
| 32.55987375 | 1 | < 0.1% | |
| 32.52970245 | 1 | < 0.1% | |
| 32.5294917 | 1 | < 0.1% | |
| 32.33884221 | 1 | < 0.1% |
temporal_ssim-corr
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 19.75922985 |
|---|---|
| Minimum | 3.341785119 |
| Maximum | 21.75825247 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 3.341785119 |
|---|---|
| 5-th percentile | 15.51670464 |
| Q1 | 18.95856171 |
| Median | 20.47113586 |
| Q3 | 21.21332199 |
| 95-th percentile | 21.65991094 |
| Maximum | 21.75825247 |
| Range | 18.41646735 |
| Interquartile range | 2.254760284 |
Descriptive statistics
| Standard deviation | 2.037009854 |
|---|---|
| Coef of variation | 0.1030915612 |
| Kurtosis | 3.812865825 |
| Mean | 19.75922985 |
| MAD | 1.532395914 |
| Skewness | -1.779323607 |
| Sum | 797561.5536 |
| Variance | 4.149409144 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 21.57347757 | 1 | < 0.1% | |
| 20.21114945 | 1 | < 0.1% | |
| 20.58661379 | 1 | < 0.1% | |
| 21.72016101 | 1 | < 0.1% | |
| 17.5405608 | 1 | < 0.1% | |
| 18.60976432 | 1 | < 0.1% | |
| 21.29235139 | 1 | < 0.1% | |
| 18.14697723 | 1 | < 0.1% | |
| 20.32785514 | 1 | < 0.1% | |
| 21.54182602 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 3.341785119 | 1 | < 0.1% | |
| 5.395195211 | 1 | < 0.1% | |
| 5.655216877 | 1 | < 0.1% | |
| 5.982788666 | 1 | < 0.1% | |
| 6.264312389 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 21.75825247 | 1 | < 0.1% | |
| 21.75817195 | 1 | < 0.1% | |
| 21.75785721 | 1 | < 0.1% | |
| 21.7578498 | 1 | < 0.1% | |
| 21.75782295 | 1 | < 0.1% |
temporal_ssim-euclidean
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 0.4960193477 |
|---|---|
| Minimum | 9.402973124e-05 |
| Maximum | 4.579613501 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 9.402973124e-05 |
|---|---|
| 5-th percentile | 0.02390970407 |
| Q1 | 0.1236452793 |
| Median | 0.3044959729 |
| Q3 | 0.7046884418 |
| 95-th percentile | 1.593493431 |
| Maximum | 4.579613501 |
| Range | 4.579519471 |
| Interquartile range | 0.5810431624 |
Descriptive statistics
| Standard deviation | 0.5204500374 |
|---|---|
| Coef of variation | 1.049253502 |
| Kurtosis | 3.554270466 |
| Mean | 0.4960193477 |
| MAD | 0.3939207419 |
| Skewness | 1.756145235 |
| Sum | 20021.32495 |
| Variance | 0.2708682415 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 0.5205927745 | 1 | < 0.1% | |
| 0.09515618504 | 1 | < 0.1% | |
| 0.04560133475 | 1 | < 0.1% | |
| 1.216704061 | 1 | < 0.1% | |
| 0.6446316372 | 1 | < 0.1% | |
| 2.109214996 | 1 | < 0.1% | |
| 0.3668790122 | 1 | < 0.1% | |
| 0.3104144655 | 1 | < 0.1% | |
| 0.272094835 | 1 | < 0.1% | |
| 0.09384861008 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 9.402973124e-05 | 1 | < 0.1% | |
| 0.0001190701951 | 1 | < 0.1% | |
| 0.0002195344053 | 1 | < 0.1% | |
| 0.0002200451071 | 1 | < 0.1% | |
| 0.0002204244765 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 4.579613501 | 1 | < 0.1% | |
| 4.054478805 | 1 | < 0.1% | |
| 3.999558759 | 1 | < 0.1% | |
| 3.987088385 | 1 | < 0.1% | |
| 3.837072102 | 1 | < 0.1% |
temporal_ssim-manhattan
Highly correlated
This variable is highly correlated with temporal_ssim-euclidean and should be ignored for analysis
| Correlation | 0.9962524218 |
|---|
temporal_ssim-max
Numeric
| Distinct count | 39725 |
|---|---|
| Unique (%) | 98.4% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 0.9488136715 |
|---|---|
| Minimum | 0.2625531794 |
| Maximum | 1 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 0.2625531794 |
|---|---|
| 5-th percentile | 0.8135175732 |
| Q1 | 0.9325248972 |
| Median | 0.9742203022 |
| Q3 | 0.9912765449 |
| 95-th percentile | 0.9995721317 |
| Maximum | 1 |
| Range | 0.7374468206 |
| Interquartile range | 0.05875164766 |
Descriptive statistics
| Standard deviation | 0.06680002912 |
|---|---|
| Coef of variation | 0.07040373798 |
| Kurtosis | 8.570495973 |
| Mean | 0.9488136715 |
| MAD | 0.0465949913 |
| Skewness | -2.524465008 |
| Sum | 38297.91504 |
| Variance | 0.004462243891 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 1 | 485 | 1.2% | |
| 0.9999998444 | 24 | 0.1% | |
| 0.9999991888 | 21 | 0.1% | |
| 0.999997857 | 19 | < 0.1% | |
| 0.9999724463 | 17 | < 0.1% | |
| 0.999998756 | 17 | < 0.1% | |
| 0.9999833875 | 16 | < 0.1% | |
| 0.999279451 | 10 | < 0.1% | |
| 0.9995651337 | 7 | < 0.1% | |
| 0.9999678471 | 7 | < 0.1% | |
| Other values (39715) | 39741 | 98.5% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0.2625531794 | 1 | < 0.1% | |
| 0.3049166256 | 1 | < 0.1% | |
| 0.3544134497 | 1 | < 0.1% | |
| 0.3730081544 | 1 | < 0.1% | |
| 0.3890685058 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 1 | 485 | 1.2% | |
| 0.9999999777 | 1 | < 0.1% | |
| 0.9999999774 | 1 | < 0.1% | |
| 0.9999998444 | 24 | 0.1% | |
| 0.9999998384 | 2 | < 0.1% |
temporal_ssim-mean
Highly correlated
This variable is highly correlated with temporal_ssim-corr and should be ignored for analysis
| Correlation | 0.9929380689 |
|---|
temporal_ssim-series
Categorical, Unique
| First 5 values |
|---|
| [0.15468 0.63109 0.61275 0.5703 0.61286 0.62478 0.65241 0.67233 0.65579\n 0.63058 0.61514 0.60407 0.86705 0.86205 0.80657 0.71755 0.73496 0.75088\n 0.67408 0.67227 0.66277 0.64529 0.64955 0.64521 0.64384 0.64088 0.63203\n 0.62714 0.62723] |
| [0.17387 0.16584 0.97058 0.27028 0.62714 0.46057 0.6942 0.44419 0.62484\n 0.4225 0.33123 0.3595 0.48462 0.74359 0.31956 0.48236 0.59339 0.57704\n 0.59069 0.58181 0.55557 0.56476 0.55901 0.55717 0.56435 0.55706 0.56286\n 0.56281 0.57122] |
| [0.17803 0.15742 0.15356 0.13974 0.1283 0.15235 0.13958 0.15079 0.14631\n 0.17144 0.14119 0.26255 0.22461 0.15953 0.17434 0.15014 0.16321 0.15916\n 0.17414 0.16986 0.15501 0.12316 0.10202 0.11624 0.10617 0.10057 0.0957\n 0.10846 0.15534] |
| [0.19432 0.72515 0.70511 0.68228 0.6997 0.71409 0.72622 0.74617 0.74009\n 0.70773 0.68434 0.67037 0.88857 0.88409 0.8383 0.77927 0.78715 0.7987\n 0.74961 0.7448 0.73876 0.71036 0.7212 0.72002 0.71925 0.71861 0.70772\n 0.70716 0.70431] |
| [0.21965 0.74327 0.73366 0.7164 0.70597 0.73962 0.73236 0.72805 0.75435\n 0.71281 0.68892 0.67615 0.87993 0.87723 0.83923 0.78496 0.80515 0.80753\n 0.79737 0.78878 0.78232 0.77443 0.77797 0.78301 0.78446 0.78379 0.77368\n 0.7725 0.76887] |
| Last 5 values |
|---|
| [1. 1. 1. 1. 1. 1. 0.99978 0.99932 0.99892\n 0.99807 0.99509 0.99483 0.99416 0.99341 0.9947 0.99477 0.99302 0.99388\n 0.99296 0.99344 0.99277 0.99138 0.9949 0.99276 0.9934 0.99509 0.99225\n 0.99014 0.98978] |
| [1. 1. 1. 1. 1. 1. 0.99987 0.99972 0.99953\n 0.99925 0.99808 0.99732 0.99626 0.99586 0.99654 0.99691 0.99598 0.99612\n 0.99553 0.99541 0.99635 0.99563 0.9957 0.99597 0.99601 0.99819 0.9969\n 0.99422 0.99407] |
| [1. 1. 1. 1. 1. 1. 0.99988 0.99955 0.99926\n 0.99871 0.99665 0.99644 0.99582 0.99526 0.99617 0.99622 0.9955 0.99597\n 0.99538 0.99543 0.99502 0.99414 0.99671 0.99523 0.99567 0.99648 0.99512\n 0.99369 0.99355] |
| [1. 1. 1. 1. 1. 1. 0.99992 0.99982 0.99971\n 0.9995 0.99866 0.99811 0.99731 0.997 0.99751 0.99777 0.99716 0.99723\n 0.99697 0.99654 0.99721 0.99656 0.99669 0.997 0.997 0.99878 0.99786\n 0.99622 0.99612] |
| [1. 1. 1. 1. 1. 1. 0.99996 0.99991 0.99984\n 0.99973 0.99917 0.99873 0.99818 0.99799 0.99824 0.99845 0.99808 0.9982\n 0.99803 0.99765 0.99805 0.99759 0.9977 0.9979 0.99789 0.99932 0.99872\n 0.99785 0.99775] |
First 5 values
| Value | Count | Frequency (%) | |
| [0.15468 0.63109 0.61275 0.5703 0.61286 0.62478 0.65241 0.67233 0.65579 0.63058 0.61514 0.60407 0.86705 0.86205 0.80657 0.71755 0.73496 0.75088 0.67408 0.67227 0.66277 0.64529 0.64955 0.64521 0.64384 0.64088 0.63203 0.62714 0.62723] | 1 | < 0.1% | |
| [0.17387 0.16584 0.97058 0.27028 0.62714 0.46057 0.6942 0.44419 0.62484 0.4225 0.33123 0.3595 0.48462 0.74359 0.31956 0.48236 0.59339 0.57704 0.59069 0.58181 0.55557 0.56476 0.55901 0.55717 0.56435 0.55706 0.56286 0.56281 0.57122] | 1 | < 0.1% | |
| [0.17803 0.15742 0.15356 0.13974 0.1283 0.15235 0.13958 0.15079 0.14631 0.17144 0.14119 0.26255 0.22461 0.15953 0.17434 0.15014 0.16321 0.15916 0.17414 0.16986 0.15501 0.12316 0.10202 0.11624 0.10617 0.10057 0.0957 0.10846 0.15534] | 1 | < 0.1% | |
| [0.19432 0.72515 0.70511 0.68228 0.6997 0.71409 0.72622 0.74617 0.74009 0.70773 0.68434 0.67037 0.88857 0.88409 0.8383 0.77927 0.78715 0.7987 0.74961 0.7448 0.73876 0.71036 0.7212 0.72002 0.71925 0.71861 0.70772 0.70716 0.70431] | 1 | < 0.1% | |
| [0.21965 0.74327 0.73366 0.7164 0.70597 0.73962 0.73236 0.72805 0.75435 0.71281 0.68892 0.67615 0.87993 0.87723 0.83923 0.78496 0.80515 0.80753 0.79737 0.78878 0.78232 0.77443 0.77797 0.78301 0.78446 0.78379 0.77368 0.7725 0.76887] | 1 | < 0.1% |
Last 5 values
| Value | Count | Frequency (%) | |
| [1. 1. 1. 1. 1. 1. 0.99996 0.99991 0.99984 0.99973 0.99917 0.99873 0.99818 0.99799 0.99824 0.99845 0.99808 0.9982 0.99803 0.99765 0.99805 0.99759 0.9977 0.9979 0.99789 0.99932 0.99872 0.99785 0.99775] | 1 | < 0.1% | |
| [1. 1. 1. 1. 1. 1. 0.99992 0.99982 0.99971 0.9995 0.99866 0.99811 0.99731 0.997 0.99751 0.99777 0.99716 0.99723 0.99697 0.99654 0.99721 0.99656 0.99669 0.997 0.997 0.99878 0.99786 0.99622 0.99612] | 1 | < 0.1% | |
| [1. 1. 1. 1. 1. 1. 0.99988 0.99955 0.99926 0.99871 0.99665 0.99644 0.99582 0.99526 0.99617 0.99622 0.9955 0.99597 0.99538 0.99543 0.99502 0.99414 0.99671 0.99523 0.99567 0.99648 0.99512 0.99369 0.99355] | 1 | < 0.1% | |
| [1. 1. 1. 1. 1. 1. 0.99987 0.99972 0.99953 0.99925 0.99808 0.99732 0.99626 0.99586 0.99654 0.99691 0.99598 0.99612 0.99553 0.99541 0.99635 0.99563 0.9957 0.99597 0.99601 0.99819 0.9969 0.99422 0.99407] | 1 | < 0.1% | |
| [1. 1. 1. 1. 1. 1. 0.99978 0.99932 0.99892 0.99807 0.99509 0.99483 0.99416 0.99341 0.9947 0.99477 0.99302 0.99388 0.99296 0.99344 0.99277 0.99138 0.9949 0.99276 0.9934 0.99509 0.99225 0.99014 0.98978] | 1 | < 0.1% |
temporal_ssim-std
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 0.02356055157 |
|---|---|
| Minimum | 3.268403825e-06 |
| Maximum | 0.3061902016 |
| Zeros (%) | 0.0% |
Quantile statistics
| Minimum | 3.268403825e-06 |
|---|---|
| 5-th percentile | 0.001008502532 |
| Q1 | 0.004254057987 |
| Median | 0.01202642106 |
| Q3 | 0.03063326092 |
| 95-th percentile | 0.08522067186 |
| Maximum | 0.3061902016 |
| Range | 0.3061869332 |
| Interquartile range | 0.02637920293 |
Descriptive statistics
| Standard deviation | 0.03083500377 |
|---|---|
| Coef of variation | 1.308755599 |
| Kurtosis | 10.89208203 |
| Mean | 0.02356055157 |
| MAD | 0.02100049252 |
| Skewness | 2.792737867 |
| Sum | 950.9981035 |
| Variance | 0.0009507974575 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 0.001388643089 | 1 | < 0.1% | |
| 0.06934897024 | 1 | < 0.1% | |
| 0.00230853013 | 1 | < 0.1% | |
| 0.006332184416 | 1 | < 0.1% | |
| 0.01952495818 | 1 | < 0.1% | |
| 0.02368437309 | 1 | < 0.1% | |
| 0.003352523336 | 1 | < 0.1% | |
| 0.001224504186 | 1 | < 0.1% | |
| 0.003255415332 | 1 | < 0.1% | |
| 0.01856255755 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 3.268403825e-06 | 1 | < 0.1% | |
| 6.858797702e-06 | 1 | < 0.1% | |
| 7.000809627e-06 | 1 | < 0.1% | |
| 8.921939611e-06 | 1 | < 0.1% | |
| 1.370765317e-05 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 0.3061902016 | 1 | < 0.1% | |
| 0.2754711064 | 1 | < 0.1% | |
| 0.2734616573 | 1 | < 0.1% | |
| 0.2720579759 | 1 | < 0.1% | |
| 0.2703895542 | 1 | < 0.1% |
temporal_threshold_gaussian_difference-corr
Constant
This variable is constant and should be ignored for analysis
| Constant value | 0.0 |
|---|
temporal_threshold_gaussian_difference-euclidean
Numeric
| Distinct count | 26292 |
|---|---|
| Unique (%) | 65.1% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 7724.995782 |
|---|---|
| Minimum | 0 |
| Maximum | 646648.8177 |
| Zeros (%) | 26.3% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| Median | 438.6724208 |
| Q3 | 3861.255647 |
| 95-th percentile | 35054.4125 |
| Maximum | 646648.8177 |
| Range | 646648.8177 |
| Interquartile range | 3861.255647 |
Descriptive statistics
| Standard deviation | 27970.22176 |
|---|---|
| Coef of variation | 3.620742658 |
| Kurtosis | 112.2138142 |
| Mean | 7724.995782 |
| MAD | 11063.3279 |
| Skewness | 8.796936104 |
| Sum | 311811729.7 |
| Variance | 782333305.2 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 0 | 10616 | 26.3% | |
| 1 | 145 | 0.4% | |
| 3 | 129 | 0.3% | |
| 4 | 127 | 0.3% | |
| 5 | 104 | 0.3% | |
| 2 | 101 | 0.3% | |
| 6 | 98 | 0.2% | |
| 9 | 79 | 0.2% | |
| 7 | 76 | 0.2% | |
| 8 | 68 | 0.2% | |
| Other values (26282) | 28821 | 71.4% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 10616 | 26.3% | |
| 1 | 145 | 0.4% | |
| 1.414213562 | 5 | < 0.1% | |
| 1.732050808 | 2 | < 0.1% | |
| 2 | 101 | 0.3% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 646648.8177 | 1 | < 0.1% | |
| 645474.8584 | 1 | < 0.1% | |
| 645223.8587 | 1 | < 0.1% | |
| 644109.3008 | 1 | < 0.1% | |
| 604345.4348 | 1 | < 0.1% |
temporal_threshold_gaussian_difference-manhattan
Highly correlated
This variable is highly correlated with temporal_threshold_gaussian_difference-euclidean and should be ignored for analysis
| Correlation | 0.9437301362 |
|---|
temporal_threshold_gaussian_difference-max
Highly correlated
This variable is highly correlated with temporal_threshold_gaussian_difference-euclidean and should be ignored for analysis
| Correlation | 0.9078857745 |
|---|
temporal_threshold_gaussian_difference-mean
Highly correlated
This variable is highly correlated with temporal_threshold_gaussian_difference-manhattan and should be ignored for analysis
| Correlation | 0.9998740525 |
|---|
temporal_threshold_gaussian_difference-series
Categorical
| Distinct count | 28753 |
|---|---|
| Unique (%) | 71.2% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | |
|---|---|
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 1463 |
| [0. 3. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 11 |
| Other values (28750) |
| Value | Count | Frequency (%) | |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 9153 | 22.7% | |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 1463 | 3.6% | |
| [0. 3. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 11 | < 0.1% | |
| [0. 4. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 10 | < 0.1% | |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0.] | 8 | < 0.1% | |
| [3. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 8 | < 0.1% | |
| [0. 0. 4. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 7 | < 0.1% | |
| [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 3. 0. 0.] | 7 | < 0.1% | |
| [6. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] | 7 | < 0.1% | |
| [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 185. 0. 0. 0.] | 7 | < 0.1% | |
| Other values (28743) | 29683 | 73.5% |
| Max length | 353 |
|---|---|
| Mean length | 151.9922951 |
| Min length | 86 |
| Contains chars | True |
| Contains digits | True |
| Contains spaces | True |
| Contains non-words | True |
temporal_threshold_gaussian_difference-std
Highly correlated
This variable is highly correlated with temporal_threshold_gaussian_difference-max and should be ignored for analysis
| Correlation | 0.9528810237 |
|---|
title
Path
| Distinct count | 972 |
|---|---|
| Unique (%) | 2.4% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Common prefix | /tmp/vimeo/ |
| Value | Count | Frequency (%) | |
| /tmp/vimeo/203102499.mp4 | 42 | 0.1% | |
| /tmp/vimeo/193542635.mp4 | 42 | 0.1% | |
| /tmp/vimeo/62904366.mp4 | 42 | 0.1% | |
| /tmp/vimeo/145457926.mp4 | 42 | 0.1% | |
| /tmp/vimeo/261591349.mp4 | 42 | 0.1% | |
| /tmp/vimeo/162000783.mp4 | 42 | 0.1% | |
| /tmp/vimeo/61167222.mp4 | 42 | 0.1% | |
| /tmp/vimeo/331638223.mp4 | 42 | 0.1% | |
| /tmp/vimeo/206551954.mp4 | 42 | 0.1% | |
| /tmp/vimeo/113699185.mp4 | 42 | 0.1% | |
| Other values (962) | 39944 | 99.0% |
| Value | Count | Frequency (%) | |
| 282613720 | 42 | 0.1% | |
| 124083564 | 42 | 0.1% | |
| 223638407 | 42 | 0.1% | |
| 137495055 | 42 | 0.1% | |
| 286764988 | 42 | 0.1% | |
| 64224323 | 42 | 0.1% | |
| 90104510 | 42 | 0.1% | |
| 171564083 | 42 | 0.1% | |
| 190671135 | 42 | 0.1% | |
| 258946256 | 42 | 0.1% | |
| Other values (962) | 39944 | 99.0% |
| Value | Count | Frequency (%) | |
| 147161290.mp4 | 42 | 0.1% | |
| 291908182.mp4 | 42 | 0.1% | |
| 195706862.mp4 | 42 | 0.1% | |
| 116231562.mp4 | 42 | 0.1% | |
| 289435274.mp4 | 42 | 0.1% | |
| 153878361.mp4 | 42 | 0.1% | |
| 264934247.mp4 | 42 | 0.1% | |
| 119359193.mp4 | 42 | 0.1% | |
| 56385466.mp4 | 42 | 0.1% | |
| 197032404.mp4 | 42 | 0.1% | |
| Other values (962) | 39944 | 99.0% |
| Value | Count | Frequency (%) | |
| .mp4 | 40364 | 100.0% |
| Value | Count | Frequency (%) | |
| /tmp/vimeo | 40364 | 100.0% |
Unnamed_0
Numeric
| Distinct count | 40364 |
|---|---|
| Unique (%) | 100.0% |
| Missing (%) | 0.0% |
| Missing (n) | 0 |
| Infinite (%) | 0.0% |
| Infinite (n) | 0 |
| Mean | 20181.5 |
|---|---|
| Minimum | 0 |
| Maximum | 40363 |
| Zeros (%) | < 0.1% |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2018.15 |
| Q1 | 10090.75 |
| Median | 20181.5 |
| Q3 | 30272.25 |
| 95-th percentile | 38344.85 |
| Maximum | 40363 |
| Range | 40363 |
| Interquartile range | 20181.5 |
Descriptive statistics
| Standard deviation | 11652.22747 |
|---|---|
| Coef of variation | 0.5773717251 |
| Kurtosis | -1.2 |
| Mean | 20181.5 |
| MAD | 10091 |
| Skewness | 0 |
| Sum | 814606066 |
| Variance | 135774405 |
| Memory size | 315.5 KiB |
| Value | Count | Frequency (%) | |
| 2047 | 1 | < 0.1% | |
| 23873 | 1 | < 0.1% | |
| 5448 | 1 | < 0.1% | |
| 27975 | 1 | < 0.1% | |
| 25926 | 1 | < 0.1% | |
| 32069 | 1 | < 0.1% | |
| 30020 | 1 | < 0.1% | |
| 19779 | 1 | < 0.1% | |
| 17730 | 1 | < 0.1% | |
| 21824 | 1 | < 0.1% | |
| Other values (40354) | 40354 | > 99.9% |
Minimum 5 values
| Value | Count | Frequency (%) | |
| 0 | 1 | < 0.1% | |
| 1 | 1 | < 0.1% | |
| 2 | 1 | < 0.1% | |
| 3 | 1 | < 0.1% | |
| 4 | 1 | < 0.1% |
Maximum 5 values
| Value | Count | Frequency (%) | |
| 40363 | 1 | < 0.1% | |
| 40362 | 1 | < 0.1% | |
| 40361 | 1 | < 0.1% | |
| 40360 | 1 | < 0.1% | |
| 40359 | 1 | < 0.1% |
First rows
| attack | dimension | fps | kind | path | pixels | size | size_dimension_ratio | temporal_dct-corr | temporal_dct-euclidean | temporal_dct-manhattan | temporal_dct-max | temporal_dct-mean | temporal_dct-series | temporal_dct-std | temporal_gaussian_difference-corr | temporal_gaussian_difference-euclidean | temporal_gaussian_difference-manhattan | temporal_gaussian_difference-max | temporal_gaussian_difference-mean | temporal_gaussian_difference-series | temporal_gaussian_difference-std | temporal_gaussian_mse-corr | temporal_gaussian_mse-euclidean | temporal_gaussian_mse-manhattan | temporal_gaussian_mse-max | temporal_gaussian_mse-mean | temporal_gaussian_mse-series | temporal_gaussian_mse-std | temporal_psnr-corr | temporal_psnr-euclidean | temporal_psnr-manhattan | temporal_psnr-max | temporal_psnr-mean | temporal_psnr-series | temporal_psnr-std | temporal_ssim-corr | temporal_ssim-euclidean | temporal_ssim-manhattan | temporal_ssim-max | temporal_ssim-mean | temporal_ssim-series | temporal_ssim-std | temporal_threshold_gaussian_difference-corr | temporal_threshold_gaussian_difference-euclidean | temporal_threshold_gaussian_difference-manhattan | temporal_threshold_gaussian_difference-max | temporal_threshold_gaussian_difference-mean | temporal_threshold_gaussian_difference-series | temporal_threshold_gaussian_difference-std | title | Unnamed_0 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | /tmp/1080_14/vimeo/100019714.mp4 | 1920 | 29 | features_input_QoE | /tmp/1080_14/vimeo/100019714.mp4 | 620006400 | 5583312 | 2907.975000 | 0.0 | 0.252337 | 1.336853 | 0.066599 | 0.046098 | [0.0666 0.04848 0.0539 0.04585 0.0514 0.05189 0.04549 0.05111 0.04362\n 0.04726 0.04639 0.04744 0.05236 0.05045 0.05055 0.05338 0.04624 0.04377\n 0.05051 0.04773 0.04875 0.04654 0.0469 0.04413 0.04021 0.03661 0.02531\n 0.02883 0.02516] | 0.008402 | 0.0 | 106.435827 | 555.740519 | 29.600014 | 19.163466 | [17.14094 14.62532 20.43196 25.76345 23.035 21.99337 29.60001 18.04452\n 18.07827 26.92787 24.48507 20.18854 22.24979 26.5586 19.69132 25.44671\n 15.69734 19.68481 13.01696 13.01656 15.42038 14.23157 17.56447 11.50358\n 15.31109 12.30545 13.69591 19.69525 20.33641] | 4.837607 | 0.0 | 2.984644e-07 | 0.000001 | 1.053228e-07 | 5.023095e-08 | [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.] | 2.342241e-08 | 115456.999658 | 252.588444 | 1359.713449 | 56.062045 | 53.113329 | [53.35501 53.27179 52.5393 51.93276 52.13002 52.13364 51.5844 52.12994\n 52.13878 51.86398 51.56448 51.77466 52.36465 52.15873 52.28177 51.48832\n 54.57353 53.58012 54.39453 54.04273 54.7499 54.25051 53.79241 56.06205\n 55.05647 55.60347 54.3021 52.6428 52.52369] | 1.293025 | 21.738066 | 0.005267 | 0.026958 | 0.999676 | 0.999070 | [0.99915 0.99917 0.99898 0.9989 0.9989 0.99888 0.99877 0.99899 0.99898\n 0.99884 0.99885 0.9991 0.99896 0.99893 0.99904 0.99891 0.99958 0.99952\n 0.99873 0.99858 0.99888 0.99884 0.99866 0.99968 0.99957 0.99965 0.99952\n 0.99926 0.99924] | 0.000304 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.] | 0.000000 | /tmp/vimeo/100019714.mp4 | 0 |
| 1 | /tmp/1080_18/vimeo/100019714.mp4 | 1920 | 29 | features_input_QoE | /tmp/1080_18/vimeo/100019714.mp4 | 620006400 | 3744760 | 1950.395833 | 0.0 | 0.234818 | 1.246958 | 0.050686 | 0.042999 | [0.05069 0.04208 0.04742 0.04277 0.0477 0.04871 0.04962 0.04598 0.04485\n 0.04681 0.05022 0.04099 0.0419 0.0431 0.0395 0.04774 0.04612 0.04163\n 0.04 0.03791 0.04383 0.0461 0.04414 0.04929 0.04885 0.04646 0.02709\n 0.02431 0.02112] | 0.007244 | 0.0 | 143.703053 | 751.898502 | 39.259258 | 25.927535 | [23.27982 19.20393 27.54001 37.46085 29.80623 29.85709 39.25926 24.53875\n 26.01231 34.29612 32.81723 27.96602 28.33644 32.52152 24.58757 34.82336\n 21.4878 28.63088 16.94486 17.65643 20.15098 18.97016 25.56137 16.79737\n 22.18881 17.07365 18.24345 29.50908 26.37715] | 6.312803 | 0.0 | 5.360498e-07 | 0.000003 | 1.786044e-07 | 9.110251e-08 | [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.] | 4.011152e-08 | 110891.454071 | 263.820416 | 1420.266231 | 53.516078 | 51.025302 | [51.40676 51.52763 50.72243 50.07361 50.23427 50.13671 49.66057 49.97069\n 50.11321 49.95919 49.58282 49.11993 50.3446 50.18693 50.15419 49.3376\n 51.96521 50.79249 52.5344 52.22153 52.9914 52.5621 52.01983 53.51608\n 52.65551 52.948 51.979 50.51732 50.49976] | 1.233202 | 21.727582 | 0.007901 | 0.040681 | 0.999457 | 0.998597 | [0.99877 0.99878 0.9985 0.99839 0.99836 0.99833 0.99817 0.99844 0.99845\n 0.99831 0.99831 0.9986 0.99843 0.99837 0.99854 0.99836 0.99932 0.9992\n 0.99811 0.99793 0.99831 0.9983 0.99794 0.99946 0.99933 0.99938 0.99921\n 0.99886 0.99888] | 0.000430 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.] | 0.000000 | /tmp/vimeo/100019714.mp4 | 1 |
| 2 | /tmp/1080_21/vimeo/100019714.mp4 | 1920 | 29 | features_input_QoE | /tmp/1080_21/vimeo/100019714.mp4 | 620006400 | 2725806 | 1419.690625 | 0.0 | 0.210046 | 1.098745 | 0.057873 | 0.037888 | [0.05597 0.04431 0.04457 0.04848 0.04612 0.04676 0.0461 0.0411 0.03565\n 0.03655 0.03816 0.03004 0.02873 0.0318 0.03267 0.05787 0.04537 0.04473\n 0.03415 0.03051 0.02844 0.03888 0.03707 0.0386 0.03664 0.0356 0.01899\n 0.02584 0.01908] | 0.009267 | 0.0 | 183.576788 | 969.811993 | 46.554939 | 33.441793 | [36.95385 28.44842 35.38667 44.47777 37.29666 33.59235 43.63391 32.13871\n 29.68356 38.05815 37.54274 34.73321 36.99052 39.53819 35.65666 46.55494\n 28.70818 41.24491 24.10189 25.17032 24.16672 26.13517 30.79195 23.40052\n 30.70938 23.21131 25.47439 38.66481 37.34616] | 6.612906 | 0.0 | 8.627508e-07 | 0.000004 | 3.018865e-07 | 1.499614e-07 | [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.] | 5.637764e-08 | 106624.101915 | 274.443865 | 1477.393306 | 52.010982 | 49.055403 | [48.80347 48.79413 48.54245 48.1517 48.15962 48.16522 47.91231 47.93954\n 48.07947 48.10185 47.63776 46.97418 48.36604 48.3023 47.90747 47.34584\n 49.9346 48.47929 50.68624 50.43366 51.55732 50.75039 50.45547 52.01098\n 51.05845 51.1332 49.98782 48.51015 48.42577] | 1.367464 | 21.712794 | 0.011629 | 0.059977 | 0.999276 | 0.997932 | [0.99806 0.99794 0.99779 0.99771 0.9976 0.99759 0.99749 0.99756 0.99764\n 0.9976 0.99753 0.99768 0.99765 0.99762 0.99763 0.99761 0.99898 0.99874\n 0.99719 0.99698 0.9977 0.99745 0.99723 0.99928 0.9991 0.99911 0.99885\n 0.99836 0.99837] | 0.000621 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.] | 0.000000 | /tmp/vimeo/100019714.mp4 | 2 |
| 3 | /tmp/1080_25/vimeo/100019714.mp4 | 1920 | 29 | features_input_QoE | /tmp/1080_25/vimeo/100019714.mp4 | 620006400 | 1659876 | 864.518750 | 0.0 | 0.273246 | 1.310551 | 0.123405 | 0.045191 | [0.10545 0.03476 0.05665 0.0489 0.03109 0.04155 0.05532 0.02619 0.02689\n 0.04187 0.02705 0.03614 0.05197 0.04679 0.08285 0.12341 0.03988 0.04548\n 0.02895 0.02579 0.02042 0.02407 0.04354 0.04438 0.05548 0.03067 0.02331\n 0.04791 0.0438 ] | 0.023073 | 0.0 | 294.923620 | 1555.210949 | 85.696617 | 53.627964 | [61.71916 46.70007 53.2895 58.81945 53.5128 51.90947 60.62349 50.15022\n 46.20171 56.46626 52.09943 54.93531 65.6245 64.75731 62.87273 85.69662\n 47.2748 60.38024 38.86879 39.82791 37.27775 41.35133 44.01872 39.55243\n 67.42116 41.91469 42.06911 66.36897 63.50701] | 11.106297 | 0.0 | 2.274403e-06 | 0.000011 | 1.031254e-06 | 3.874084e-07 | [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0.] | 1.681990e-07 | 99856.689056 | 291.188398 | 1567.756324 | 48.218645 | 45.939437 | [45.7169 45.5339 45.61722 45.35453 45.3045 45.3408 45.29385 45.23476\n 45.23515 45.36881 44.85762 44.29615 45.12703 45.33632 44.69145 44.17029\n 46.29264 45.25507 47.52788 47.38834 48.21865 47.63154 47.60845 48.0924\n 47.1786 47.12197 46.37989 45.58546 45.48352] | 1.127917 | 21.673835 | 0.021323 | 0.110804 | 0.998356 | 0.996179 | [0.99642 0.99609 0.99617 0.99603 0.99581 0.99573 0.99581 0.99587 0.99586\n 0.99587 0.99573 0.99584 0.99547 0.99558 0.99549 0.99557 0.99789 0.99738\n 0.99463 0.99448 0.99542 0.99507 0.99481 0.99836 0.99798 0.99798 0.99766\n 0.99711 0.99709] | 0.001039 | 0.0 | 13.000000 | 17.0 | 12.0 | 0.586207 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.\n 0. 0. 0. 12. 0. 0. 0. 0. 0. 0. 0.] | 2.341783 | /tmp/vimeo/100019714.mp4 | 3 |
| 4 | /tmp/1080_32/vimeo/100019714.mp4 | 1920 | 29 | features_input_QoE | /tmp/1080_32/vimeo/100019714.mp4 | 620006400 | 773577 | 402.904688 | 0.0 | 0.681164 | 3.072005 | 0.367270 | 0.105931 | [0.12725 0.05906 0.12856 0.08676 0.07583 0.05909 0.10439 0.07075 0.08083\n 0.08851 0.09545 0.11098 0.12725 0.13023 0.25982 0.36727 0.05681 0.07639\n 0.05672 0.06853 0.06408 0.06282 0.08982 0.04977 0.07667 0.04634 0.06402\n 0.21384 0.17419] | 0.069123 | 0.0 | 654.975758 | 3367.619766 | 247.553802 | 116.124820 | [109.0724 100.30797 111.3802 115.05614 117.02732 110.01921 117.42489\n 107.00044 112.22421 120.02952 120.41405 126.28082 131.05588 127.52287\n 196.14449 247.5538 90.75616 104.74057 88.66264 87.16741 82.58134\n 90.24625 92.75478 68.97458 107.93297 77.32476 87.62833 167.46855\n 152.86722] | 36.164855 | 0.0 | 1.235430e-05 | 0.000053 | 7.733255e-06 | 1.840299e-06 | [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00] | 1.369801e-06 | 90005.316997 | 315.696897 | 1699.623314 | 44.405135 | 41.392300 | [40.81507 40.44519 40.56376 40.51637 40.34846 40.40583 40.53446 40.42102\n 40.30165 40.5439 40.11239 39.95831 40.89532 41.21665 39.92553 39.37473\n 41.55199 41.00313 43.4465 43.43153 44.40514 43.84181 43.85396 43.18287\n 42.53863 42.19125 41.76104 41.40085 41.38935] | 1.358452 | 21.542142 | 0.054138 | 0.282970 | 0.995355 | 0.990242 | [0.99025 0.98925 0.98945 0.98932 0.98865 0.98842 0.98896 0.98896 0.98851\n 0.98881 0.98832 0.98869 0.98889 0.98922 0.98774 0.98723 0.99382 0.99308\n 0.98812 0.98823 0.98997 0.98909 0.98895 0.99535 0.99471 0.99446 0.99392\n 0.9933 0.99335] | 0.002420 | 0.0 | 156.246600 | 215.0 | 133.0 | 7.413793 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 82. 0.\n 0. 0. 0. 0. 0. 0. 0. 133. 0. 0. 0. 0. 0. 0.\n 0.] | 28.051083 | /tmp/vimeo/100019714.mp4 | 4 |
| 5 | /tmp/1080_40/vimeo/100019714.mp4 | 1920 | 29 | features_input_QoE | /tmp/1080_40/vimeo/100019714.mp4 | 620006400 | 361802 | 188.438542 | 0.0 | 1.380460 | 6.436018 | 0.535721 | 0.221932 | [0.12145 0.12632 0.15593 0.14349 0.14878 0.13777 0.15942 0.1711 0.15946\n 0.15844 0.16644 0.18298 0.1912 0.19143 0.36074 0.53572 0.32975 0.3506\n 0.52629 0.48557 0.18287 0.1759 0.15401 0.07442 0.12716 0.09934 0.10144\n 0.36462 0.35337] | 0.128293 | 0.0 | 1449.055980 | 7538.165680 | 478.880737 | 259.936748 | [210.64746 216.62448 236.04294 239.28912 256.36911 255.88217 263.51395\n 264.07242 251.66504 253.91925 263.70184 267.67886 246.87097 248.67439\n 383.06241 478.88074 256.03738 276.75787 373.25854 363.35504 238.4852\n 248.66212 243.95082 130.39671 169.16855 148.78775 173.02194 291.36954\n 288.01904] | 69.559442 | 0.0 | 5.660177e-05 | 0.000267 | 2.658738e-05 | 9.202320e-06 | [1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05\n 1.e-05 1.e-05 1.e-05 1.e-05 2.e-05 3.e-05 1.e-05 1.e-05 2.e-05 2.e-05\n 1.e-05 1.e-05 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 1.e-05] | 5.078563e-06 | 80402.035535 | 339.551508 | 1828.075751 | 40.391772 | 36.962905 | [36.14017 35.96756 35.97736 35.93692 35.83401 35.79668 35.80001 35.78945\n 35.82051 35.88888 35.69718 35.68543 36.94007 36.94103 36.01008 35.55856\n 36.51812 36.35547 38.78623 38.85265 40.39177 40.10669 40.07149 37.99526\n 37.67052 37.54487 37.43587 37.21737 37.19406] | 1.422023 | 21.107411 | 0.164015 | 0.856993 | 0.983669 | 0.970449 | [0.96734 0.96521 0.9654 0.96528 0.9634 0.9633 0.96351 0.96296 0.96273\n 0.96317 0.96259 0.96285 0.97019 0.97013 0.96385 0.96052 0.97901 0.97751\n 0.96938 0.96992 0.97717 0.97643 0.97604 0.98367 0.98205 0.9817 0.98053\n 0.97874 0.97844] | 0.007371 | 0.0 | 1126.161623 | 1910.0 | 825.0 | 65.862069 | [ 0. 0. 0. 0. 0. 0. 0. 0. 14. 0. 0. 0. 196. 0.\n 0. 0. 0. 0. 727. 0. 143. 825. 0. 0. 0. 0. 0. 5.\n 0.] | 198.480734 | /tmp/vimeo/100019714.mp4 | 5 |
| 6 | /tmp/1080_45/vimeo/100019714.mp4 | 1920 | 29 | features_input_QoE | /tmp/1080_45/vimeo/100019714.mp4 | 620006400 | 233607 | 121.670312 | 0.0 | 1.522469 | 7.837951 | 0.514980 | 0.270274 | [0.20665 0.21804 0.19959 0.1958 0.22699 0.20874 0.28019 0.2897 0.23319\n 0.2309 0.27288 0.28054 0.31297 0.31374 0.35443 0.51498 0.22233 0.21298\n 0.25103 0.23644 0.3653 0.403 0.42284 0.15028 0.19362 0.19194 0.17508\n 0.35901 0.31479] | 0.082945 | 0.0 | 2247.107195 | 11671.937698 | 643.205017 | 402.480610 | [346.49411 370.16693 386.91263 400.69238 425.65082 425.88708 469.4216\n 478.65802 456.94485 450.76648 470.16089 484.35873 326.9747 323.9707\n 562.82269 643.20502 260.85938 286.20517 392.67258 399.64078 557.17804\n 559.25018 553.02106 209.58881 233.00136 234.54175 263.57407 348.38303\n 350.93387] | 110.135049 | 0.0 | 1.255868e-04 | 0.000603 | 4.879850e-05 | 2.079456e-05 | [1.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 3.e-05 3.e-05 3.e-05 2.e-05\n 3.e-05 3.e-05 1.e-05 1.e-05 4.e-05 5.e-05 1.e-05 1.e-05 2.e-05 2.e-05\n 3.e-05 3.e-05 3.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05] | 1.055699e-05 | 75657.621926 | 351.305802 | 1891.509794 | 37.456352 | 34.775524 | [33.9666 33.91243 33.8908 33.8347 33.75991 33.73249 33.64989 33.70429\n 33.73553 33.76672 33.6642 33.66447 34.77093 34.76899 33.93867 33.71557\n 34.54211 34.42015 36.61192 36.64226 37.45635 37.33792 37.32014 35.61979\n 35.41339 35.32881 35.21259 35.07229 35.0363 ] | 1.218143 | 20.359080 | 0.352893 | 1.843907 | 0.965706 | 0.936417 | [0.93104 0.92663 0.92636 0.92516 0.92131 0.92232 0.92234 0.92256 0.91992\n 0.92034 0.91959 0.9186 0.9403 0.94068 0.91676 0.91435 0.95744 0.95472\n 0.94236 0.9433 0.93926 0.93858 0.93808 0.96571 0.96303 0.96189 0.95748\n 0.95341 0.95259] | 0.015858 | 0.0 | 2177.373647 | 2924.0 | 2135.0 | 100.827586 | [0.000e+00 0.000e+00 2.000e+00 4.000e+00 0.000e+00 0.000e+00 5.000e+00\n 0.000e+00 1.590e+02 0.000e+00 0.000e+00 0.000e+00 6.600e+01 0.000e+00\n 0.000e+00 0.000e+00 0.000e+00 0.000e+00 2.680e+02 0.000e+00 2.850e+02\n 2.135e+03 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00 0.000e+00\n 0.000e+00] | 391.554644 | /tmp/vimeo/100019714.mp4 | 6 |
| 7 | /tmp/144_14/vimeo/100019714.mp4 | 256 | 29 | features_input_QoE | /tmp/144_14/vimeo/100019714.mp4 | 11022336 | 367377 | 1435.066406 | 0.0 | 4.132286 | 21.386290 | 1.164890 | 0.737458 | [0.7053 0.72873 0.75397 0.74153 0.73253 0.70941 0.72517 0.73984 0.67203\n 0.6737 0.67534 0.65337 1.15609 1.16489 0.75877 0.81031 0.87199 0.87629\n 0.38142 0.38442 1.08619 1.0844 1.08328 0.46201 0.4911 0.49648 0.51633\n 0.61981 0.63161] | 0.212074 | 0.0 | 4709.843802 | 25161.628052 | 961.252563 | 867.642347 | [894.88721 939.02698 931.10828 956.88922 944.73645 930.59918 927.93011\n 937.89758 961.25256 947.33118 939.12109 959.67383 724.05774 717.22778\n 697.25616 703.00574 629.86957 648.14661 941.49438 944.20654 740.85638\n 763.74713 751.53027 917.75153 943.79517 946.94043 938.6557 947.55365\n 935.07959] | 110.068103 | 0.0 | 3.081068e-04 | 0.001644 | 6.402940e-05 | 5.667955e-05 | [6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 5.e-05 4.e-05 4.e-05 4.e-05 4.e-05 4.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05] | 7.801902e-06 | 72720.075628 | 358.806236 | 1931.582993 | 37.434479 | 33.393690 | [32.67593 32.61457 32.59976 32.59045 32.58594 32.56009 32.56622 32.57177\n 32.64854 32.65896 32.63733 32.62614 32.47341 32.47188 32.8096 32.6903\n 32.06679 32.03914 36.80385 36.7925 37.43448 37.34307 37.34161 32.89744\n 32.833 32.81346 32.79909 32.74625 32.72543] | 1.725060 | 17.641211 | 1.032007 | 5.486362 | 0.893660 | 0.810815 | [0.80051 0.79803 0.79781 0.79699 0.79879 0.80033 0.80189 0.80361 0.8038\n 0.80326 0.79835 0.79688 0.79236 0.79186 0.77783 0.77207 0.79182 0.79119\n 0.89366 0.89356 0.86188 0.861 0.86078 0.80552 0.80363 0.80329 0.80394\n 0.80447 0.80454] | 0.030571 | 0.0 | 766.370667 | 1438.0 | 552.0 | 49.586207 | [ 0. 0. 0. 0. 0. 0. 0. 0. 4. 0. 0. 0. 13. 0.\n 0. 0. 0. 0. 330. 0. 407. 552. 0. 0. 7. 0. 0. 66.\n 59.] | 133.393252 | /tmp/vimeo/100019714.mp4 | 7 |
| 8 | /tmp/144_18/vimeo/100019714.mp4 | 256 | 29 | features_input_QoE | /tmp/144_18/vimeo/100019714.mp4 | 11022336 | 236196 | 922.640625 | 0.0 | 4.131185 | 21.396200 | 1.162520 | 0.737800 | [0.69907 0.72234 0.75323 0.74203 0.72647 0.70525 0.72115 0.73433 0.67071\n 0.67222 0.68395 0.67415 1.15408 1.16252 0.75882 0.81001 0.87472 0.88095\n 0.37862 0.38248 1.07811 1.08131 1.07684 0.46437 0.48635 0.49605 0.53363\n 0.63492 0.63755] | 0.210137 | 0.0 | 4757.002773 | 25423.194214 | 967.797913 | 876.661869 | [890.7052 943.35889 943.53119 954.88361 950.9173 940.79761 939.07129\n 949.04401 967.79791 964.13696 946.59143 965.87073 733.1969 731.48334\n 703.258 712.55896 632.49146 655.94171 939.03601 933.99548 766.27399\n 793.83655 769.05652 906.34845 952.57355 955.27441 955.67261 967.41687\n 958.0733 ] | 108.521476 | 0.0 | 3.162379e-04 | 0.001687 | 6.708162e-05 | 5.816079e-05 | [6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05\n 6.e-05 7.e-05 5.e-05 5.e-05 4.e-05 4.e-05 4.e-05 4.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 7.e-05 7.e-05] | 8.112938e-06 | 72480.198811 | 359.393748 | 1934.797955 | 37.130802 | 33.282829 | [32.59635 32.5294 32.50158 32.50262 32.52557 32.48723 32.49753 32.49747\n 32.57973 32.57553 32.54644 32.51487 32.41948 32.41627 32.72828 32.56532\n 32.03686 31.99496 36.62937 36.63296 37.1308 37.00871 37.04025 32.85073\n 32.76666 32.74046 32.6896 32.5976 32.59941] | 1.656961 | 17.530773 | 1.060196 | 5.637801 | 0.891085 | 0.805593 | [0.79626 0.79271 0.79211 0.79159 0.79279 0.79494 0.79644 0.79745 0.79686\n 0.79603 0.79163 0.79053 0.78632 0.78569 0.77466 0.76819 0.79015 0.78912\n 0.89108 0.891 0.85687 0.85599 0.85608 0.80251 0.79923 0.79815 0.79659\n 0.79597 0.79528] | 0.031066 | 0.0 | 821.780993 | 1512.0 | 617.0 | 52.137931 | [ 0. 0. 0. 0. 0. 0. 0. 0. 9. 0. 0. 0. 13. 0.\n 0. 0. 0. 0. 320. 0. 430. 617. 0. 0. 5. 0. 0. 66.\n 52.] | 143.417818 | /tmp/vimeo/100019714.mp4 | 8 |
| 9 | /tmp/144_21/vimeo/100019714.mp4 | 256 | 29 | features_input_QoE | /tmp/144_21/vimeo/100019714.mp4 | 11022336 | 167684 | 655.015625 | 0.0 | 4.139468 | 21.471137 | 1.161668 | 0.740384 | [0.70505 0.72195 0.75398 0.74055 0.72706 0.70519 0.72769 0.73784 0.66953\n 0.66919 0.67971 0.6714 1.15283 1.16167 0.75854 0.81049 0.86899 0.88851\n 0.38177 0.38436 1.07561 1.07604 1.07314 0.48864 0.50186 0.49504 0.55046\n 0.64496 0.64908] | 0.206640 | 0.0 | 4743.208872 | 25376.376160 | 972.330994 | 875.047454 | [886.44415 941.62897 941.31488 944.72278 951.9942 938.19464 919.15582\n 937.44861 972.33099 967.84637 945.48901 963.98486 734.66357 727.72614\n 727.39758 760.74561 639.36322 674.48285 944.26904 957.62024 769.86279\n 785.63031 777.49573 880.20538 934.01514 940.13623 944.56128 945.56433\n 922.08142] | 100.429604 | 0.0 | 3.190335e-04 | 0.001704 | 6.741181e-05 | 5.877520e-05 | [6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 7.e-05 7.e-05\n 6.e-05 7.e-05 5.e-05 5.e-05 4.e-05 5.e-05 4.e-05 4.e-05 6.e-05 6.e-05\n 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 6.e-05 7.e-05 6.e-05] | 7.430486e-06 | 72197.998574 | 360.088101 | 1938.577484 | 36.850605 | 33.152501 | [32.47597 32.42701 32.39146 32.38642 32.40274 32.38167 32.37563 32.41371\n 32.44544 32.44618 32.40408 32.35803 32.37979 32.36403 32.60811 32.42762\n 31.98203 31.94487 36.45233 36.42262 36.8506 36.76121 36.71353 32.77531\n 32.68106 32.65655 32.58378 32.46574 32.44501] | 1.601542 | 17.421209 | 1.087640 | 5.784287 | 0.886613 | 0.800542 | [0.78967 0.78595 0.78588 0.78661 0.78629 0.78832 0.79023 0.79265 0.7906\n 0.79107 0.78426 0.78216 0.78335 0.78268 0.76907 0.75873 0.78714 0.78565\n 0.88661 0.88613 0.85396 0.85361 0.85239 0.79996 0.79511 0.79411 0.79253\n 0.79067 0.79031] | 0.031752 | 0.0 | 683.941518 | 1302.0 | 508.0 | 44.896552 | [ 0. 0. 0. 0. 0. 0. 6. 3. 10. 0. 6. 0. 11. 0.\n 0. 0. 0. 0. 310. 0. 325. 508. 0. 1. 0. 0. 0. 72.\n 50.] | 118.804489 | /tmp/vimeo/100019714.mp4 | 9 |
Last rows
| attack | dimension | fps | kind | path | pixels | size | size_dimension_ratio | temporal_dct-corr | temporal_dct-euclidean | temporal_dct-manhattan | temporal_dct-max | temporal_dct-mean | temporal_dct-series | temporal_dct-std | temporal_gaussian_difference-corr | temporal_gaussian_difference-euclidean | temporal_gaussian_difference-manhattan | temporal_gaussian_difference-max | temporal_gaussian_difference-mean | temporal_gaussian_difference-series | temporal_gaussian_difference-std | temporal_gaussian_mse-corr | temporal_gaussian_mse-euclidean | temporal_gaussian_mse-manhattan | temporal_gaussian_mse-max | temporal_gaussian_mse-mean | temporal_gaussian_mse-series | temporal_gaussian_mse-std | temporal_psnr-corr | temporal_psnr-euclidean | temporal_psnr-manhattan | temporal_psnr-max | temporal_psnr-mean | temporal_psnr-series | temporal_psnr-std | temporal_ssim-corr | temporal_ssim-euclidean | temporal_ssim-manhattan | temporal_ssim-max | temporal_ssim-mean | temporal_ssim-series | temporal_ssim-std | temporal_threshold_gaussian_difference-corr | temporal_threshold_gaussian_difference-euclidean | temporal_threshold_gaussian_difference-manhattan | temporal_threshold_gaussian_difference-max | temporal_threshold_gaussian_difference-mean | temporal_threshold_gaussian_difference-series | temporal_threshold_gaussian_difference-std | title | Unnamed_0 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40354 | /tmp/480_32/vimeo/99906664.mp4 | 854 | 29 | features_input_QoE | /tmp/480_32/vimeo/99906664.mp4 | 102480000 | 163426 | 191.365340 | 0.0 | 2.686372 | 13.086220 | 0.876415 | 0.451249 | [0.4056 0.62216 0.51602 0.61218 0.20095 0.19302 0.21067 0.1912 0.25288\n 0.17641 0.49654 0.24731 0.80498 0.25176 0.23213 0.19051 0.19576 0.47338\n 0.44861 0.77235 0.42906 0.50865 0.87642 0.57937 0.70134 0.64854 0.65627\n 0.58023 0.61188] | 0.212656 | 0.0 | 2089.639295 | 10891.330688 | 513.352600 | 375.563127 | [411.3428 480.7865 440.95874 463.92334 260.35883 301.9166 240.81104\n 245.59189 239.53479 240.14368 309.93811 278.81076 372.80573 285.01947\n 275.24344 274.45444 319.91391 332.08124 329.91422 427.63687 469.02011\n 472.45334 513.3526 475.73206 475.38794 495.78323 511.21838 478.99081\n 468.20584] | 97.593486 | 0.0 | 0.000187 | 0.000872 | 0.000058 | 0.000030 | [3.e-05 4.e-05 4.e-05 4.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05\n 2.e-05 2.e-05 2.e-05 1.e-05 1.e-05 1.e-05 2.e-05 3.e-05 2.e-05 4.e-05\n 4.e-05 4.e-05 5.e-05 6.e-05 5.e-05 6.e-05 6.e-05 5.e-05 5.e-05] | 0.000017 | 86963.809059 | 324.064020 | 1744.321616 | 44.201488 | 39.850979 | [38.32939 37.43695 37.3867 37.19118 42.3513 42.0845 43.79471 44.20149\n 43.98877 41.17216 40.71918 40.10892 39.82183 40.0456 39.99464 39.80909\n 39.92934 39.62279 39.48803 39.39099 38.58174 39.00743 39.10327 38.91248\n 38.60727 38.73224 38.63544 38.60458 38.62638] | 1.840647 | 21.087556 | 0.175227 | 0.920348 | 0.981571 | 0.968264 | [0.96622 0.95956 0.95864 0.95465 0.97381 0.97186 0.97547 0.98157 0.98046\n 0.9777 0.97671 0.97377 0.97308 0.97505 0.97363 0.97283 0.9731 0.96759\n 0.96869 0.96673 0.96209 0.96465 0.9655 0.96369 0.95976 0.96075 0.96132\n 0.96077 0.96003] | 0.007183 | 0.0 | 4535.771489 | 10319.0 | 2745.0 | 355.827586 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 28.\n 12. 0. 0. 0. 0. 0. 0. 0. 0. 1411. 72. 303.\n 41. 2745. 1939. 1673. 2095.] | 763.418766 | /tmp/vimeo/99906664.mp4 | 40354 |
| 40355 | /tmp/480_40/vimeo/99906664.mp4 | 854 | 29 | features_input_QoE | /tmp/480_40/vimeo/99906664.mp4 | 102480000 | 72409 | 84.788056 | 0.0 | 3.414906 | 17.561059 | 0.946620 | 0.605554 | [0.72851 0.90203 0.79295 0.77163 0.54759 0.54708 0.39402 0.44323 0.4125\n 0.48216 0.44213 0.50129 0.55618 0.27271 0.37922 0.33027 0.31839 0.82036\n 0.56973 0.94662 0.79931 0.59188 0.51967 0.67669 0.6828 0.90043 0.77143\n 0.7834 0.67685] | 0.188224 | 0.0 | 4111.645064 | 21695.170929 | 1070.619629 | 748.109342 | [1070.61963 1000.46558 776.16577 888.85547 681.53143 904.86011\n 502.63553 686.73279 521.48077 669.51257 575.69055 551.03204\n 565.89294 637.74402 567.86426 551.23773 828.95941 809.58655\n 671.57892 726.31219 981.28632 930.58252 712.57684 746.18817\n 880.06927 795.91565 771.6308 785.12213 903.04095] | 152.594242 | 0.0 | 0.000411 | 0.002030 | 0.000126 | 0.000070 | [1.3e-04 1.2e-04 8.0e-05 1.0e-04 5.0e-05 8.0e-05 3.0e-05 4.0e-05 3.0e-05\n 4.0e-05 3.0e-05 3.0e-05 4.0e-05 4.0e-05 4.0e-05 3.0e-05 7.0e-05 1.0e-04\n 6.0e-05 9.0e-05 1.2e-04 9.0e-05 6.0e-05 8.0e-05 9.0e-05 9.0e-05 8.0e-05\n 9.0e-05 1.0e-04] | 0.000030 | 81920.391922 | 336.577444 | 1811.925261 | 41.524052 | 37.519819 | [35.58401 35.04268 35.44343 35.27414 39.50366 38.22088 41.02246 40.66104\n 41.52405 38.45871 38.65247 38.11981 38.16726 37.9758 38.07236 38.06742\n 37.41739 37.33949 36.97612 37.30622 36.14918 36.17866 37.06806 36.91759\n 36.23415 36.72333 36.91387 36.77909 36.28141] | 1.607705 | 20.525976 | 0.321428 | 1.685860 | 0.966573 | 0.941867 | [0.93418 0.91669 0.91847 0.91166 0.95583 0.94997 0.95711 0.96657 0.96457\n 0.9579 0.95567 0.95107 0.95077 0.95238 0.95076 0.94984 0.94584 0.93885\n 0.93738 0.94003 0.93191 0.93689 0.94105 0.93663 0.9278 0.93253 0.93449\n 0.93361 0.93367] | 0.013533 | 0.0 | 2412.163966 | 5879.0 | 1542.0 | 202.724138 | [ 0. 98. 29. 0. 0. 0. 0. 12. 0. 0. 14. 98.\n 120. 0. 0. 0. 0. 82. 0. 8. 45. 461. 0. 267.\n 62. 1542. 1019. 895. 1127.] | 399.427167 | /tmp/vimeo/99906664.mp4 | 40355 |
| 40356 | /tmp/480_45/vimeo/99906664.mp4 | 854 | 29 | features_input_QoE | /tmp/480_45/vimeo/99906664.mp4 | 102480000 | 46776 | 54.772834 | 0.0 | 5.513154 | 28.603953 | 1.609446 | 0.986343 | [1.42778 1.25113 1.01635 1.17082 0.87813 0.99806 0.87342 0.67347 0.63701\n 0.80222 0.64493 0.74927 0.7228 0.76973 0.6849 0.59802 0.74081 1.3782\n 0.85597 1.38696 1.1234 1.04183 0.85903 1.12388 1.60945 1.29369 1.10389\n 1.32265 0.86613] | 0.274273 | 0.0 | 7251.166793 | 38176.082642 | 1993.751831 | 1316.416643 | [1993.75183 1672.92102 1456.55872 1729.39807 1357.21521 1919.38281\n 1144.01941 1093.0625 965.76947 1156.67981 870.3031 1023.44495\n 934.71143 1160.84155 1036.29749 1022.32123 1383.12708 1560.5835\n 1216.66138 1340.69275 1514.21008 1503.26147 1106.96338 1294.74438\n 1648.03345 1256.93286 1154.95764 1299.70801 1359.52808] | 283.073605 | 0.0 | 0.001081 | 0.005361 | 0.000366 | 0.000185 | [3.7e-04 2.9e-04 2.3e-04 2.9e-04 1.7e-04 3.3e-04 1.2e-04 1.1e-04 9.0e-05\n 1.2e-04 8.0e-05 1.0e-04 9.0e-05 1.2e-04 1.0e-04 1.0e-04 1.9e-04 2.5e-04\n 1.4e-04 2.4e-04 2.5e-04 2.1e-04 1.4e-04 2.0e-04 3.0e-04 2.0e-04 1.7e-04\n 2.0e-04 1.9e-04] | 0.000078 | 77188.533751 | 348.185323 | 1874.683619 | 38.196856 | 35.355737 | [32.86828 33.46618 33.86153 33.24375 36.16337 34.22851 37.23039 37.53889\n 38.19686 36.05019 37.05443 36.25376 36.48358 35.61753 36.08275 36.104\n 35.13505 34.7931 35.13161 35.26072 34.40584 34.40009 35.59417 35.22988\n 34.16684 35.1903 35.54866 35.24975 34.76638] | 1.252295 | 19.908276 | 0.484494 | 2.529813 | 0.952843 | 0.912765 | [0.89406 0.86818 0.8737 0.86108 0.93363 0.92928 0.94135 0.95284 0.9506\n 0.9382 0.936 0.92489 0.92417 0.92519 0.9257 0.92229 0.91703 0.90729\n 0.90743 0.90411 0.89807 0.90697 0.91174 0.90696 0.8961 0.903 0.90418\n 0.90372 0.90242] | 0.022008 | 0.0 | 6937.867756 | 22509.0 | 3913.0 | 776.172414 | [ 0. 629. 257. 0. 63. 258. 0. 2384. 0. 0. 697. 521.\n 345. 0. 0. 0. 0. 120. 8. 369. 299. 1863. 587. 1702.\n 1514. 3913. 2024. 2711. 2245.] | 1028.275157 | /tmp/vimeo/99906664.mp4 | 40356 |
| 40357 | /tmp/720_14/vimeo/99906664.mp4 | 1280 | 29 | features_input_QoE | /tmp/720_14/vimeo/99906664.mp4 | 230400000 | 3468068 | 2709.428125 | 0.0 | 0.706837 | 3.482205 | 0.197177 | 0.120076 | [0.10202 0.14518 0.1511 0.13951 0.06635 0.04263 0.06332 0.04183 0.05332\n 0.0744 0.09643 0.07059 0.09541 0.06145 0.0814 0.08742 0.06329 0.18132\n 0.08352 0.17307 0.14173 0.15812 0.18524 0.19515 0.17487 0.18858 0.17682\n 0.19097 0.19718] | 0.053009 | 0.0 | 512.178567 | 2621.091286 | 130.962753 | 90.382458 | [ 98.23936 118.18528 122.81747 116.59932 59.31076 48.56787 43.5577\n 46.49623 51.16934 61.04626 62.49995 68.52885 72.49673 71.96449\n 74.20904 77.66302 66.49918 86.07783 74.28216 102.05376 90.48309\n 121.32703 123.86097 121.60663 122.85917 126.14815 130.65759 130.96275\n 130.9213 ] | 29.610233 | 0.0 | 0.000018 | 0.000079 | 0.000006 | 0.000003 | [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 1.e-05 1.e-05 1.e-05 1.e-05] | 0.000002 | 98933.294613 | 294.544928 | 1585.328390 | 49.647059 | 45.333504 | [44.28171 43.73033 43.12739 43.22578 46.25719 47.46852 49.64706 49.44882\n 48.72376 47.05857 47.43628 45.83227 45.83192 45.74548 45.59139 45.57726\n 45.80643 44.7426 45.08983 44.36157 44.02764 44.04214 44.30362 44.0148\n 44.06193 43.81756 43.73609 43.64761 44.03605] | 1.784666 | 21.587972 | 0.044273 | 0.233828 | 0.994226 | 0.991937 | [0.99199 0.99185 0.98997 0.99034 0.99224 0.99356 0.9939 0.99294 0.99281\n 0.99334 0.99372 0.99332 0.99327 0.99326 0.99294 0.99373 0.99423 0.99297\n 0.99269 0.99258 0.99153 0.99019 0.99007 0.99043 0.99077 0.98927 0.98923\n 0.98867 0.99038] | 0.001606 | 0.0 | 48.805737 | 72.0 | 43.0 | 2.482759 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 22. 0. 0. 0. 43. 0. 0. 7.] | 8.716297 | /tmp/vimeo/99906664.mp4 | 40357 |
| 40358 | /tmp/720_18/vimeo/99906664.mp4 | 1280 | 29 | features_input_QoE | /tmp/720_18/vimeo/99906664.mp4 | 230400000 | 1914076 | 1495.371875 | 0.0 | 0.733791 | 3.639000 | 0.208779 | 0.125483 | [0.09265 0.14408 0.1489 0.13304 0.05962 0.05527 0.07182 0.04799 0.06678\n 0.08333 0.09207 0.07083 0.11932 0.06673 0.08299 0.09346 0.061 0.18742\n 0.11635 0.19253 0.14146 0.17595 0.172 0.20878 0.19286 0.19328 0.1893\n 0.19584 0.18337] | 0.053116 | 0.0 | 574.769350 | 2973.822594 | 152.530228 | 102.545607 | [113.10737 115.05895 126.33367 123.23911 68.82883 62.12012 52.35403\n 61.62167 63.55954 71.39075 75.84057 82.61353 88.19814 85.50377\n 84.72557 88.26851 77.86278 100.24495 92.32559 116.29587 102.88899\n 140.10588 137.03258 132.97887 134.32889 139.8206 148.00827 152.53023\n 136.63498] | 29.599257 | 0.0 | 0.000020 | 0.000090 | 0.000007 | 0.000003 | [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05] | 0.000002 | 97192.150300 | 298.799444 | 1608.294990 | 48.678482 | 44.541552 | [43.3694 42.91336 42.35286 42.35656 45.85966 46.62314 48.67848 48.5815\n 47.99856 46.03478 46.36737 45.00797 45.01863 44.81681 44.80374 44.79723\n 44.83511 43.9329 44.31535 43.85701 43.2735 43.40772 43.30394 43.33761\n 43.13262 43.27741 43.07419 43.02778 43.34979] | 1.737653 | 21.540724 | 0.056301 | 0.298159 | 0.992270 | 0.989719 | [0.98965 0.98956 0.98737 0.98786 0.99049 0.99127 0.99168 0.99116 0.99103\n 0.9914 0.99174 0.99147 0.99138 0.99131 0.99112 0.99193 0.99227 0.99114\n 0.99039 0.99047 0.98911 0.98788 0.98732 0.98778 0.98803 0.98672 0.9865\n 0.98601 0.9878 ] | 0.001896 | 0.0 | 184.393601 | 289.0 | 152.0 | 9.965517 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 152. 0. 0. 0. 96. 0. 0.\n 41.] | 32.758766 | /tmp/vimeo/99906664.mp4 | 40358 |
| 40359 | /tmp/720_21/vimeo/99906664.mp4 | 1280 | 29 | features_input_QoE | /tmp/720_21/vimeo/99906664.mp4 | 230400000 | 1206187 | 942.333594 | 0.0 | 0.789492 | 3.961331 | 0.230873 | 0.136598 | [0.1139 0.16666 0.16409 0.17406 0.09018 0.06471 0.08674 0.06195 0.06175\n 0.10029 0.07453 0.07395 0.16295 0.07481 0.09808 0.0794 0.07291 0.19438\n 0.16973 0.23087 0.14549 0.18069 0.17854 0.20478 0.18218 0.19246 0.20655\n 0.17291 0.18181] | 0.053236 | 0.0 | 697.156811 | 3640.344452 | 177.984726 | 125.529119 | [135.30464 145.2886 161.96721 155.89163 96.51349 84.41102 71.67133\n 86.89745 86.49929 93.18482 92.79334 102.11083 109.38808 109.81552\n 107.258 98.72971 91.83904 120.6922 113.00295 135.11395 132.27342\n 154.11873 161.37234 170.79102 157.80052 159.12436 172.1236 177.98473\n 156.38264] | 31.654595 | 0.0 | 0.000025 | 0.000116 | 0.000008 | 0.000004 | [0.e+00 1.e-05 1.e-05 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 0.e+00\n 0.e+00 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05] | 0.000002 | 95770.057358 | 302.320663 | 1627.300579 | 47.874648 | 43.886187 | [42.48013 42.12606 41.55479 41.6209 45.29193 45.85432 47.57273 47.87465\n 47.46884 45.32994 45.6685 44.36454 44.47506 44.21181 44.27336 44.02669\n 44.18078 43.34672 43.21538 43.33878 42.71124 43.05793 42.90818 42.70922\n 42.48034 42.59695 42.59846 42.49966 42.86156] | 1.699317 | 21.500516 | 0.066616 | 0.353061 | 0.990543 | 0.987825 | [0.98766 0.98729 0.98523 0.98579 0.98887 0.98928 0.9895 0.99003 0.9899\n 0.99023 0.99035 0.99003 0.98983 0.98982 0.9895 0.99013 0.99054 0.98945\n 0.98824 0.98853 0.98692 0.98575 0.98527 0.98541 0.98547 0.98437 0.98426\n 0.98383 0.98545] | 0.002192 | 0.0 | 345.163729 | 508.0 | 323.0 | 17.517241 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 48. 0. 0. 0. 323. 29. 0.\n 108.] | 61.655115 | /tmp/vimeo/99906664.mp4 | 40359 |
| 40360 | /tmp/720_25/vimeo/99906664.mp4 | 1280 | 29 | features_input_QoE | /tmp/720_25/vimeo/99906664.mp4 | 230400000 | 688493 | 537.885156 | 0.0 | 1.106082 | 5.492534 | 0.407173 | 0.189398 | [0.15022 0.17907 0.17348 0.19283 0.10734 0.102 0.19152 0.08399 0.13934\n 0.11928 0.14786 0.09393 0.28992 0.0879 0.10246 0.12736 0.09772 0.20198\n 0.2713 0.40717 0.17944 0.20633 0.30928 0.27203 0.27041 0.22838 0.2766\n 0.25254 0.23085] | 0.079469 | 0.0 | 871.195168 | 4570.453583 | 221.637665 | 157.601848 | [172.37947 181.50914 197.54945 186.28757 113.29587 111.814 107.41019\n 112.28607 114.79506 110.56125 117.51507 126.865 148.70821 136.46294\n 130.56923 128.18283 126.3516 144.03951 143.06604 184.24284 174.33582\n 184.44185 201.89711 199.28067 195.63269 195.0594 216.47179 221.63766\n 187.80527] | 36.515982 | 0.0 | 0.000033 | 0.000155 | 0.000010 | 0.000005 | [1.e-05 1.e-05 1.e-05 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00\n 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 1.e-05 0.e+00 1.e-05\n 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05] | 0.000003 | 93618.132087 | 307.672130 | 1656.087934 | 47.233033 | 42.893520 | [41.36967 40.92834 40.43252 40.39421 44.816 44.90711 46.0965 47.23303\n 46.72536 44.39785 44.52825 43.35924 43.4429 43.03675 43.15939 42.94061\n 43.22922 42.34739 42.41925 42.49492 41.96866 42.13849 41.85569 41.86439\n 41.4789 41.64012 41.50933 41.47358 41.72436] | 1.749741 | 21.449060 | 0.080168 | 0.424215 | 0.988942 | 0.985372 | [0.98478 0.98404 0.98198 0.98238 0.98739 0.98712 0.98628 0.98894 0.98874\n 0.98871 0.9884 0.98807 0.98793 0.98763 0.98778 0.98804 0.98847 0.98714\n 0.98613 0.98597 0.9843 0.98338 0.98244 0.98289 0.98188 0.9812 0.98099\n 0.98089 0.98187] | 0.002764 | 0.0 | 145.787517 | 236.0 | 121.0 | 8.137931 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 58. 0. 0. 0. 57. 0. 0.\n 121.] | 25.819966 | /tmp/vimeo/99906664.mp4 | 40360 |
| 40361 | /tmp/720_32/vimeo/99906664.mp4 | 1280 | 29 | features_input_QoE | /tmp/720_32/vimeo/99906664.mp4 | 230400000 | 314143 | 245.424219 | 0.0 | 1.721470 | 8.419424 | 0.627090 | 0.290325 | [0.19997 0.29066 0.26615 0.37353 0.11859 0.22569 0.24707 0.13428 0.33972\n 0.13058 0.42542 0.14623 0.62709 0.11217 0.13077 0.21881 0.15447 0.33627\n 0.36777 0.49254 0.21404 0.31132 0.62704 0.28106 0.38891 0.313 0.34727\n 0.3019 0.2971 ] | 0.133790 | 0.0 | 1418.993176 | 7414.395996 | 366.879974 | 255.668827 | [276.17035 300.1683 316.38055 312.47803 159.59328 243.03329 186.20804\n 169.89621 188.22672 158.54871 220.43604 184.03598 276.06174 188.5697\n 177.9066 202.29289 207.79808 240.82599 231.81799 286.80173 249.56961\n 310.51074 366.87997 301.04166 347.34439 320.90103 339.07822 356.34573\n 295.47443] | 63.764573 | 0.0 | 0.000074 | 0.000351 | 0.000024 | 0.000012 | [1.e-05 2.e-05 2.e-05 2.e-05 0.e+00 1.e-05 0.e+00 0.e+00 0.e+00 0.e+00\n 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 1.e-05 2.e-05 1.e-05 1.e-05\n 1.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05 2.e-05] | 0.000007 | 89740.534980 | 317.383247 | 1708.267915 | 45.904000 | 41.094210 | [39.24355 38.71068 38.46136 38.23369 43.5395 42.95549 44.13085 45.904\n 45.64071 42.53673 42.19854 41.59482 41.48563 41.5473 41.61796 41.26677\n 41.61426 40.80637 40.64346 40.68439 40.0532 40.11799 39.93359 40.09968\n 39.4715 39.84702 39.75249 39.72517 39.91533] | 1.905112 | 21.294177 | 0.121396 | 0.638681 | 0.985800 | 0.977977 | [0.97617 0.97374 0.97233 0.97027 0.98256 0.97981 0.97853 0.98567 0.9858\n 0.98369 0.98362 0.9826 0.98221 0.98298 0.98273 0.98186 0.98215 0.97964\n 0.97788 0.97818 0.97549 0.97463 0.97432 0.97529 0.97136 0.97179 0.97211\n 0.97215 0.97178] | 0.004810 | 0.0 | 737.233342 | 1467.0 | 551.0 | 50.586207 | [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n 0. 0. 0. 0. 0. 0. 0. 110. 0. 12. 0. 551. 372. 222.\n 200.] | 127.211883 | /tmp/vimeo/99906664.mp4 | 40361 |
| 40362 | /tmp/720_40/vimeo/99906664.mp4 | 1280 | 29 | features_input_QoE | /tmp/720_40/vimeo/99906664.mp4 | 230400000 | 137855 | 107.699219 | 0.0 | 2.613827 | 13.102989 | 0.992073 | 0.451827 | [0.3915 0.683 0.5211 0.60297 0.44816 0.4401 0.33029 0.28376 0.24152\n 0.29247 0.27752 0.25916 0.33289 0.27617 0.27843 0.22699 0.30099 0.43814\n 0.42725 0.46735 0.50743 0.5324 0.99207 0.46476 0.65678 0.78887 0.53376\n 0.63338 0.4738 ] | 0.177318 | 0.0 | 3118.062174 | 16283.026978 | 823.425415 | 561.483689 | [762.1452 645.11981 591.69733 721.9671 536.62579 694.51288 451.29233\n 527.53705 380.18805 506.05353 369.06445 341.28818 366.33679 420.11774\n 357.55356 344.58704 577.51453 560.12012 466.22864 459.95694 670.97113\n 703.67566 673.3418 715.39954 823.42542 644.48193 591.92438 624.81152\n 755.08856] | 141.379615 | 0.0 | 0.000251 | 0.001234 | 0.000069 | 0.000043 | [6.e-05 6.e-05 5.e-05 7.e-05 4.e-05 6.e-05 2.e-05 3.e-05 2.e-05 3.e-05\n 2.e-05 1.e-05 2.e-05 2.e-05 2.e-05 1.e-05 4.e-05 4.e-05 3.e-05 4.e-05\n 5.e-05 6.e-05 7.e-05 6.e-05 7.e-05 6.e-05 5.e-05 6.e-05 7.e-05] | 0.000019 | 84149.453505 | 331.221032 | 1783.040284 | 42.526700 | 38.515852 | [36.63475 36.28699 36.23752 35.87968 40.70023 39.5952 41.37931 41.56902\n 42.5267 39.58737 39.96646 39.39957 39.32755 39.14519 39.29743 39.22301\n 38.7508 38.33746 38.38839 38.4022 37.49675 37.29022 37.5292 37.3505\n 37.00878 37.35716 37.65887 37.48504 37.14839] | 1.646937 | 20.845466 | 0.238118 | 1.252753 | 0.972191 | 0.956802 | [0.95291 0.94455 0.93992 0.93422 0.96689 0.95959 0.95781 0.97219 0.97117\n 0.96853 0.96791 0.96568 0.96466 0.96502 0.96528 0.96397 0.96251 0.95704\n 0.95699 0.95828 0.95192 0.95141 0.95339 0.95329 0.9453 0.94857 0.95006\n 0.94928 0.94889] | 0.009438 | 0.0 | 2778.917775 | 6532.0 | 1643.0 | 225.241379 | [ 0. 0. 0. 0. 0. 0. 0. 17. 0. 0. 0. 8.\n 55. 0. 0. 0. 0. 0. 0. 0. 0. 702. 467. 190.\n 0. 1588. 838. 1024. 1643.] | 464.279468 | /tmp/vimeo/99906664.mp4 | 40362 |
| 40363 | /tmp/720_45/vimeo/99906664.mp4 | 1280 | 29 | features_input_QoE | /tmp/720_45/vimeo/99906664.mp4 | 230400000 | 88143 | 68.861719 | 0.0 | 4.562368 | 23.042087 | 1.807880 | 0.794555 | [0.98915 0.98166 0.89329 1.1107 0.57169 0.56152 0.64841 0.41145 0.415\n 0.61705 0.68364 0.50765 0.56968 0.57949 0.43719 0.55563 0.64327 0.79749\n 0.55277 0.78158 0.87191 0.9662 0.90155 0.8899 1.80788 1.15162 1.01112\n 1.14915 0.98444] | 0.294021 | 0.0 | 7074.793223 | 37388.125366 | 1817.816772 | 1289.245702 | [1726.52954 1312.33936 1199.15955 1475.57983 1132.85571 1758.50061\n 973.03052 1289.06726 1150.78271 1290.39185 824.87677 1004.00116\n 895.56134 1175.80554 1086.53796 999.82721 1355.73291 1347.34741\n 1165.85767 1057.20667 1409.59583 1479.50378 1110.46826 1526.24292\n 1817.81677 1405.85718 1301.53455 1491.85083 1624.26367] | 252.587930 | 0.0 | 0.000876 | 0.004429 | 0.000269 | 0.000153 | [2.6e-04 1.6e-04 1.5e-04 2.0e-04 1.2e-04 2.6e-04 9.0e-05 1.3e-04 1.1e-04\n 1.3e-04 6.0e-05 9.0e-05 7.0e-05 1.1e-04 1.0e-04 8.0e-05 1.5e-04 1.6e-04\n 1.2e-04 1.2e-04 1.8e-04 1.9e-04 1.4e-04 2.0e-04 2.7e-04 2.0e-04 1.7e-04\n 2.1e-04 2.2e-04] | 0.000056 | 77858.644126 | 346.585785 | 1866.117246 | 37.969234 | 35.651129 | [33.70735 34.24583 34.25455 33.84825 37.17042 35.04451 37.96923 36.99126\n 37.6384 36.02565 37.43824 36.61707 36.8791 35.98426 36.29042 36.61672\n 35.53023 35.49564 35.64897 36.14508 34.99981 34.82067 35.93219 34.82421\n 34.07592 34.94593 35.349 34.96434 34.4295 ] | 1.162182 | 20.159477 | 0.413814 | 2.181111 | 0.948741 | 0.924789 | [0.90762 0.90056 0.88404 0.88504 0.94088 0.93662 0.93335 0.94874 0.94755\n 0.94432 0.94035 0.93444 0.93513 0.93564 0.93207 0.93464 0.93204 0.92225\n 0.92353 0.91996 0.91771 0.92196 0.92675 0.9222 0.91207 0.92057 0.9215\n 0.91989 0.91745] | 0.015756 | 0.0 | 10498.892608 | 28136.0 | 6692.0 | 970.206897 | [ 0. 65. 0. 0. 0. 27. 0. 2952. 0. 0. 348. 324.\n 243. 0. 0. 0. 0. 61. 0. 0. 9. 3591. 1328. 1051.\n 511. 6692. 3547. 3171. 4216.] | 1691.041352 | /tmp/vimeo/99906664.mp4 | 40363 |